This page displays measures for the network Semantic Network [Behavioral x Behavioral].
Network images have nodes colored by group and sized by betweenness centrality.
Behavioral-Level Measures
These measures were run on the specified network, and produced a vector of values, one value for each Behavioral node.
Input network: Semantic Network [Behavioral x Behavioral]
Measure Min Mean Max Std.Dev Centrality, Authority 0 0.069 0.476 0.093 Centrality, Authority [Unscaled] 0 0.049 0.337 0.066 Centrality, Betweenness 0 0.009 0.049 0.010 Centrality, Betweenness [Unscaled] 0 48.864 279.432 55.965 Centrality, Bonacich Power 0 9.572e-06 7.431e-05 1.350e-05 Centrality, Bonacich Power [Unscaled] 0 0.129 1 0.182 Centrality, Closeness 2.326e-05 1.359e-04 1.555e-04 4.699e-05 Centrality, Closeness [Unscaled] 2.174e-07 1.270e-06 1.454e-06 4.391e-07 Centrality, Contribution 0 0.073 0.570 0.090 Centrality, Contribution [Unscaled] 0 0.052 0.403 0.063 Centrality, Eccentricity 0 3.065 4 1.356 Centrality, Ego Betweenness 0 0.276 1 0.368 Centrality, Eigenvector 0 0.069 0.476 0.093 Centrality, Eigenvector [Unscaled] 0 0.049 0.337 0.066 Centrality, Exponential Rank 0.800 0.823 1 0.034 Centrality, Exponential Rank [Unscaled] 0.009 0.009 0.011 3.792e-04 Centrality, Hub 0 0.069 0.476 0.093 Centrality, Hub [Unscaled] 0 0.049 0.337 0.066 Centrality, In-Closeness 5.816e-06 7.154e-06 7.387e-06 5.579e-07 Centrality, In-Closeness [Unscaled] 5.436e-08 6.686e-08 6.903e-08 5.214e-09 Centrality, In-Degree 0 0.026 0.216 0.038 Centrality, In-Degree [Unscaled] 0 1,104.370 9,204 1,598.477 Centrality, In-Inverse Closeness 0 0.343 0.497 0.148 Centrality, In-Inverse Closeness [Unscaled] 0 36.724 53.167 15.837 Centrality, Information 0 0.009 0.014 0.006 Centrality, Information [Unscaled] 0 30.823 47.860 18.723 Centrality, Inverse Closeness 0 0.343 0.497 0.148 Centrality, Inverse Closeness [Unscaled] 0 36.724 53.167 15.837 Centrality, Katz 0 0.089 0.687 0.125 Centrality, Katz [Unscaled] 0 0.129 1 0.182 Centrality, Out-Degree 0 0.026 0.216 0.038 Centrality, Out-Degree [Unscaled] 0 1,104.370 9,204 1,598.477 Centrality, PageRank 1.440e-04 0.009 0.076 0.013 Centrality, Radiality 0 0.724 0.850 0.302 Centrality, Radiality [Unscaled] 0 3,331,873.093 3,911,366 1,389,487.131 Centrality, Total-Degree 0 0.026 0.216 0.038 Centrality, Total-Degree [Unscaled] 0 1,104.370 9,204 1,598.477 Overall Top-Ranked Behavioral
This chart shows the Behavioral nodes that are top-ranked overall using the node-level measures listed below. The value shown for a node is the average of its measure values, each of which is first converted into a z-score. The final scores are then normalized to be between zero and one.
There are 108 nodes in the nodeset.
Overall Score Measure List
Centrality, Authority [Semantic Network [Behavioral x Behavioral]]
Centrality, Betweenness [Semantic Network [Behavioral x Behavioral]]
Centrality, Bonacich Power [Semantic Network [Behavioral x Behavioral]]
Centrality, Closeness [Semantic Network [Behavioral x Behavioral]]
Centrality, Contribution [Semantic Network [Behavioral x Behavioral]]
Centrality, Eccentricity [Semantic Network [Behavioral x Behavioral]]
Centrality, Ego Betweenness [Semantic Network [Behavioral x Behavioral]]
Centrality, Eigenvector [Semantic Network [Behavioral x Behavioral]]
Centrality, Exponential Rank [Semantic Network [Behavioral x Behavioral]]
Centrality, Hub [Semantic Network [Behavioral x Behavioral]]
Centrality, In-Closeness [Semantic Network [Behavioral x Behavioral]]
Centrality, In-Degree [Semantic Network [Behavioral x Behavioral]]
Centrality, In-Inverse Closeness [Semantic Network [Behavioral x Behavioral]]
Centrality, Information [Semantic Network [Behavioral x Behavioral]]
Centrality, Inverse Closeness [Semantic Network [Behavioral x Behavioral]]
Centrality, Katz [Semantic Network [Behavioral x Behavioral]]
Centrality, Out-Degree [Semantic Network [Behavioral x Behavioral]]
Centrality, PageRank [Semantic Network [Behavioral x Behavioral]]
Centrality, Radiality [Semantic Network [Behavioral x Behavioral]]
Centrality, Total-Degree [Semantic Network [Behavioral x Behavioral]]
Centrality, Authority
A node is authority-central to the extent that its in-links are from nodes that have many out-links. Individuals or organizations that act as authorities are receiving information from a wide range of others each of whom sends information to a large number of others.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Behavioral x Behavioral]
Rank Behavioral Value Unscaled 1 personality 0.476 0.337 2 perception 0.334 0.236 3 perceived_vulnerability 0.328 0.232 4 belief 0.306 0.216 5 combining 0.280 0.198 6 protection_effect 0.264 0.187 7 intrinsic_rewards 0.261 0.185 8 focus 0.256 0.181 9 extrinsic_rewards 0.230 0.163 10 possibility_effect 0.220 0.155 11 behavior 0.198 0.140 12 intelligence 0.198 0.140 13 appraisal 0.193 0.137 14 physical_quality 0.184 0.130 15 participant_modeling 0.181 0.128 16 syllogistic_rules 0.172 0.122 17 process 0.168 0.119 18 knowledge 0.164 0.116 19 perceived_responsibility 0.151 0.106 20 segregating 0.130 0.092 21 activity 0.124 0.088 22 isolation_effect 0.123 0.087 23 certainty_effect 0.123 0.087 24 fear_arousal 0.116 0.082 25 mental_calculation 0.112 0.079 26 behavior_control-ability 0.110 0.078 27 action 0.104 0.073 28 perceived_consensus 0.103 0.073 29 persistence 0.102 0.072 30 learning 0.098 0.069 31 experiential_awareness 0.097 0.068 32 perceived_uniqueness 0.096 0.068 33 evaluating 0.084 0.060 34 impulsive_effect 0.082 0.058 35 intentionality 0.081 0.058 36 experience 0.081 0.057 37 frustration_of_needs 0.076 0.054 38 collection 0.068 0.048 39 satisfaction_of_needs 0.066 0.047 40 modeling 0.063 0.045 41 mastery_experience 0.061 0.043 42 function 0.058 0.041 43 live_modeling 0.052 0.037 44 history 0.051 0.036 45 vicarious_experience 0.050 0.036 46 situational_circumstance 0.050 0.035 47 motivation 0.046 0.033 48 norms 0.045 0.032 49 constraint 0.040 0.029 50 self-efficacy 0.037 0.026 51 imagination 0.035 0.025 52 generalizing 0.035 0.024 53 comply_effect 0.030 0.021 54 internalization 0.028 0.020 55 arousal 0.027 0.019 56 circumstances 0.025 0.018 57 coding 0.019 0.013 58 a_memory 0.015 0.011 59 emotional_intelligence 0.014 0.010 60 symbolic_modeling 0.014 0.010 61 prospect 0.010 0.007 62 social_circumstance 0.009 0.007 63 forethought_capability 0.008 0.006 64 empowerment 0.007 0.005 65 conscientiousness 0.006 0.004 66 neuroticism 0.005 0.004 67 agreeableness 0.005 0.003 68 extraversion 0.004 0.003 69 disposition 0.003 0.002 70 social_identity 0.003 0.002 71 subjective_norms 0.003 0.002 72 intrinsic_motivation 0.003 0.002 73 extrinsic_motivation 0.002 0.002 74 perceived_behavioral_control 0.002 0.002 75 personality_trait 0.002 0.001 76 cognitive_process 0.002 0.001 77 introversion 0.002 0.001 78 threat_appraisal 0.001 8.999e-04 79 risk-taking_effect 0.001 8.703e-04 80 group_norms 0.001 7.099e-04 81 self-identity 9.427e-04 6.666e-04 82 response_efficacy 9.082e-04 6.422e-04 83 amotivation 6.575e-04 4.650e-04 84 coping_appraisal 5.688e-04 4.022e-04 85 alertness 5.520e-04 3.903e-04 86 descriptive_norm 5.215e-04 3.687e-04 87 amplification 4.134e-04 2.923e-04 88 injunctive_norm 3.899e-04 2.757e-04 89 perceived_efficacy 3.533e-04 2.498e-04 90 descriptive_norms 3.383e-04 2.392e-04 91 injunctive_norms 2.496e-04 1.765e-04 92 adaptive_response 2.152e-04 1.522e-04 93 _do 0 0 94 _hate1 0 0 95 _hate2 0 0 96 _suicide1 0 0 97 _suicide2 0 0 98 active 0 0 99 adaptive 0 0 100 awareness 0 0
Value statistics Min: 0 Mean: 0.069 Lower quartile: 9.254e-04 Max: 0.476 Std.dev: 0.093 Median: 0.027 Upper quartile: 0.103
Unscaled value statistics Min: 0 Mean: 0.049 Lower quartile: 6.544e-04 Max: 0.337 Std.dev: 0.066 Median: 0.019 Upper quartile: 0.073 Centrality, Betweenness
The Betweenness Centrality of node v in a network is defined as: across all node pairs that have a shortest path containing v, the percentage that pass through v. When the data is weighted, the higher the weight the more value the link has. Individuals or organizations that are potentially influential are positioned to broker connections between groups and to bring to bear the influence of one group on another or serve as a gatekeeper between groups. This agent occurs on many of the shortest paths between other agents. The scientific name of this measure is betweenness centrality and it is calculated on agent by agent matrices.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Behavioral x Behavioral]
Rank Behavioral Value Unscaled 1 subjective_norms 0.049 279.432 2 emotional_intelligence 0.039 219.135 3 conscientiousness 0.038 216.134 4 disposition 0.033 187.713 5 agreeableness 0.030 169.998 6 behavior_control-ability 0.029 166.473 7 extrinsic_motivation 0.028 159.046 8 intrinsic_motivation 0.026 147.832 9 forethought_capability 0.026 146.837 10 belief 0.025 144.599 11 symbolic_modeling 0.024 135.412 12 extraversion 0.022 122.675 13 circumstances 0.021 117.288 14 motivation 0.021 116.498 15 behavior 0.019 108.379 16 appraisal 0.019 105.326 17 threat_appraisal 0.018 102.684 18 internalization 0.018 100.755 19 cognitive_process 0.017 96.935 20 norms 0.017 94.997 21 perceived_behavioral_control 0.017 94.343 22 prospect 0.015 84.299 23 empowerment 0.014 80.910 24 focus 0.014 80.798 25 a_memory 0.014 77.280 26 syllogistic_rules 0.012 70.518 27 generalizing 0.012 70.342 28 self-efficacy 0.012 68.758 29 coding 0.012 68.242 30 mental_calculation 0.012 65.429 31 intrinsic_rewards 0.011 65.208 32 social_circumstance 0.011 64.862 33 introversion 0.011 64.484 34 fear_arousal 0.011 63.906 35 situational_circumstance 0.011 59.796 36 action 0.009 52.785 37 social_identity 0.009 51.819 38 risk-taking_effect 0.009 48.832 39 amplification 0.008 46.729 40 process 0.008 43.822 41 live_modeling 0.007 42.438 42 frustration_of_needs 0.007 40.282 43 personality_trait 0.007 39.131 44 persistence 0.007 38.693 45 coping_appraisal 0.007 38.471 46 descriptive_norms 0.007 37.744 47 participant_modeling 0.007 37.239 48 group_norms 0.006 36.653 49 satisfaction_of_needs 0.006 34.622 50 neuroticism 0.006 34.265 51 certainty_effect 0.006 33.733 52 amotivation 0.006 33.502 53 perception 0.006 33.196 54 alertness 0.006 31.604 55 descriptive_norm 0.005 30.686 56 perceived_uniqueness 0.005 29.710 57 perceived_responsibility 0.005 28.404 58 comply_effect 0.005 27.317 59 intelligence 0.004 24.538 60 injunctive_norm 0.004 23.760 61 function 0.004 22.339 62 extrinsic_rewards 0.004 22.117 63 protection_effect 0.004 20.345 64 personality 0.004 20.183 65 perceived_vulnerability 0.003 18.714 66 impulsive_effect 0.003 18.183 67 activity 0.003 17.549 68 combining 0.003 17.520 69 experience 0.003 14.418 70 injunctive_norms 0.002 13.812 71 segregating 0.002 13.458 72 collection 0.002 12.927 73 arousal 0.002 12.250 74 mastery_experience 0.002 11.777 75 constraint 0.002 11.482 76 perceived_efficacy 0.002 9.701 77 physical_quality 0.002 9.516 78 response_efficacy 0.002 8.893 79 experiential_awareness 0.002 8.646 80 possibility_effect 0.002 8.576 81 perceived_consensus 0.001 7.799 82 self-identity 0.001 7.330 83 imagination 0.001 6.510 84 intentionality 0.001 5.773 85 isolation_effect 9.269e-04 5.257 86 learning 6.095e-04 3.457 87 history 5.592e-04 3.171 88 evaluating 4.989e-04 2.829 89 vicarious_experience 3.182e-04 1.804 90 adaptive_response 3.126e-04 1.773 91 knowledge 2.123e-04 1.204 92 modeling 1.173e-04 0.665 93 _do 0 0 94 _hate1 0 0 95 _hate2 0 0 96 _suicide1 0 0 97 _suicide2 0 0 98 active 0 0 99 adaptive 0 0 100 awareness 0 0
Value statistics Min: 0 Mean: 0.009 Lower quartile: 0.001 Max: 0.049 Std.dev: 0.010 Median: 0.005 Upper quartile: 0.012
Unscaled value statistics Min: 0 Mean: 48.864 Lower quartile: 7.565 Max: 279.432 Std.dev: 55.965 Median: 31.145 Upper quartile: 69.550 Centrality, Bonacich Power
This computes the centrality of each entity based on the centrality of its neighbors. Beta should be chosen such that its absolute value is less than the reciprocal of the largest eigenvalue of N.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Behavioral x Behavioral]
Rank Behavioral Value Unscaled 1 personality 7.431e-05 1 2 perceived_vulnerability 4.846e-05 0.652 3 perception 4.832e-05 0.650 4 belief 4.471e-05 0.602 5 combining 3.957e-05 0.533 6 protection_effect 3.713e-05 0.500 7 intrinsic_rewards 3.684e-05 0.496 8 focus 3.575e-05 0.481 9 extrinsic_rewards 3.238e-05 0.436 10 possibility_effect 2.999e-05 0.404 11 behavior 2.787e-05 0.375 12 intelligence 2.725e-05 0.367 13 appraisal 2.649e-05 0.356 14 physical_quality 2.538e-05 0.341 15 participant_modeling 2.494e-05 0.336 16 syllogistic_rules 2.375e-05 0.320 17 process 2.325e-05 0.313 18 knowledge 2.261e-05 0.304 19 perceived_responsibility 2.099e-05 0.282 20 segregating 1.746e-05 0.235 21 activity 1.683e-05 0.227 22 certainty_effect 1.674e-05 0.225 23 isolation_effect 1.645e-05 0.221 24 fear_arousal 1.560e-05 0.210 25 mental_calculation 1.478e-05 0.199 26 behavior_control-ability 1.476e-05 0.199 27 perceived_consensus 1.425e-05 0.192 28 action 1.391e-05 0.187 29 persistence 1.342e-05 0.181 30 learning 1.323e-05 0.178 31 perceived_uniqueness 1.322e-05 0.178 32 experiential_awareness 1.288e-05 0.173 33 evaluating 1.125e-05 0.151 34 experience 1.117e-05 0.150 35 impulsive_effect 1.106e-05 0.149 36 intentionality 1.087e-05 0.146 37 frustration_of_needs 1.039e-05 0.140 38 collection 9.004e-06 0.121 39 satisfaction_of_needs 8.522e-06 0.115 40 mastery_experience 8.149e-06 0.110 41 modeling 8.015e-06 0.108 42 function 7.810e-06 0.105 43 live_modeling 6.982e-06 0.094 44 history 6.881e-06 0.093 45 situational_circumstance 6.760e-06 0.091 46 vicarious_experience 6.547e-06 0.088 47 motivation 6.259e-06 0.084 48 norms 6.099e-06 0.082 49 constraint 5.425e-06 0.073 50 self-efficacy 4.934e-06 0.066 51 imagination 4.717e-06 0.063 52 generalizing 4.466e-06 0.060 53 comply_effect 4.022e-06 0.054 54 internalization 3.879e-06 0.052 55 arousal 3.582e-06 0.048 56 circumstances 3.378e-06 0.045 57 coding 2.421e-06 0.033 58 a_memory 2.069e-06 0.028 59 symbolic_modeling 1.808e-06 0.024 60 emotional_intelligence 1.794e-06 0.024 61 social_circumstance 1.243e-06 0.017 62 prospect 0 0.016 63 forethought_capability 0 0.016 64 empowerment 0 0.012 65 conscientiousness 0 0.012 66 neuroticism 0 0.011 67 agreeableness 0 0.010 68 extraversion 0 0.008 69 disposition 0 0.006 70 social_identity 0 0.006 71 subjective_norms 0 0.006 72 extrinsic_motivation 0 0.005 73 intrinsic_motivation 0 0.005 74 perceived_behavioral_control 0 0.005 75 cognitive_process 0 0.003 76 personality_trait 0 0.003 77 introversion 0 0.003 78 threat_appraisal 0 0.002 79 risk-taking_effect 0 0.002 80 group_norms 0 0.002 81 response_efficacy 0 0.002 82 self-identity 0 0.001 83 amotivation 0 0.001 84 coping_appraisal 0 0.001 85 descriptive_norm 0 0.001 86 alertness 0 9.031e-04 87 amplification 0 8.688e-04 88 injunctive_norm 0 8.578e-04 89 descriptive_norms 0 7.463e-04 90 perceived_efficacy 0 6.863e-04 91 injunctive_norms 0 5.510e-04 92 adaptive_response 0 4.409e-04 93 _do 0 0 94 _hate1 0 0 95 _hate2 0 0 96 _suicide1 0 0 97 _suicide2 0 0 98 active 0 0 99 adaptive 0 0 100 awareness 0 0
Value statistics Min: 0 Mean: 9.572e-06 Lower quartile: 1.115e-07 Max: 7.431e-05 Std.dev: 1.350e-05 Median: 3.731e-06 Upper quartile: 1.408e-05
Unscaled value statistics Min: 0 Mean: 0.129 Lower quartile: 0.002 Max: 1 Std.dev: 0.182 Median: 0.050 Upper quartile: 0.189 Centrality, Closeness
The closeness of a node to the other nodes in a network (also called out-closeness). Loosely, Closeness is the inverse of the sum of distances in the network from a node to all other nodes.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Behavioral x Behavioral]
Rank Behavioral Value Unscaled 1 emotional_intelligence 1.555e-04 1.454e-06 2 subjective_norms 1.555e-04 1.454e-06 3 agreeableness 1.555e-04 1.454e-06 4 behavior_control-ability 1.555e-04 1.454e-06 5 conscientiousness 1.555e-04 1.454e-06 6 disposition 1.555e-04 1.454e-06 7 forethought_capability 1.555e-04 1.454e-06 8 appraisal 1.555e-04 1.454e-06 9 extraversion 1.555e-04 1.454e-06 10 motivation 1.555e-04 1.454e-06 11 symbolic_modeling 1.555e-04 1.454e-06 12 internalization 1.555e-04 1.454e-06 13 mental_calculation 1.555e-04 1.454e-06 14 circumstances 1.555e-04 1.454e-06 15 behavior 1.555e-04 1.454e-06 16 extrinsic_motivation 1.555e-04 1.454e-06 17 intrinsic_motivation 1.555e-04 1.454e-06 18 syllogistic_rules 1.555e-04 1.454e-06 19 belief 1.555e-04 1.454e-06 20 frustration_of_needs 1.555e-04 1.454e-06 21 norms 1.555e-04 1.454e-06 22 persistence 1.555e-04 1.454e-06 23 social_circumstance 1.555e-04 1.454e-06 24 neuroticism 1.555e-04 1.454e-06 25 self-efficacy 1.555e-04 1.454e-06 26 fear_arousal 1.555e-04 1.454e-06 27 certainty_effect 1.555e-04 1.454e-06 28 focus 1.555e-04 1.454e-06 29 situational_circumstance 1.555e-04 1.454e-06 30 action 1.555e-04 1.454e-06 31 generalizing 1.555e-04 1.454e-06 32 intrinsic_rewards 1.555e-04 1.454e-06 33 empowerment 1.555e-04 1.454e-06 34 impulsive_effect 1.555e-04 1.454e-06 35 prospect 1.555e-04 1.454e-06 36 satisfaction_of_needs 1.555e-04 1.454e-06 37 threat_appraisal 1.555e-04 1.454e-06 38 function 1.555e-04 1.454e-06 39 comply_effect 1.555e-04 1.454e-06 40 a_memory 1.555e-04 1.454e-06 41 coding 1.555e-04 1.454e-06 42 perceived_uniqueness 1.555e-04 1.454e-06 43 segregating 1.555e-04 1.454e-06 44 cognitive_process 1.555e-04 1.454e-06 45 process 1.555e-04 1.454e-06 46 activity 1.555e-04 1.454e-06 47 perceived_behavioral_control 1.555e-04 1.454e-06 48 perceived_responsibility 1.555e-04 1.454e-06 49 coping_appraisal 1.555e-04 1.454e-06 50 descriptive_norms 1.555e-04 1.454e-06 51 intelligence 1.555e-04 1.454e-06 52 descriptive_norm 1.555e-04 1.454e-06 53 live_modeling 1.555e-04 1.454e-06 54 mastery_experience 1.555e-04 1.454e-06 55 participant_modeling 1.555e-04 1.454e-06 56 combining 1.555e-04 1.454e-06 57 experiential_awareness 1.555e-04 1.454e-06 58 introversion 1.555e-04 1.454e-06 59 amplification 1.555e-04 1.454e-06 60 injunctive_norm 1.555e-04 1.454e-06 61 protection_effect 1.555e-04 1.454e-06 62 arousal 1.555e-04 1.454e-06 63 social_identity 1.555e-04 1.454e-06 64 perceived_consensus 1.555e-04 1.454e-06 65 amotivation 1.555e-04 1.454e-06 66 constraint 1.555e-04 1.454e-06 67 experience 1.555e-04 1.454e-06 68 group_norms 1.555e-04 1.454e-06 69 risk-taking_effect 1.555e-04 1.454e-06 70 extrinsic_rewards 1.555e-04 1.454e-06 71 alertness 1.555e-04 1.454e-06 72 personality_trait 1.555e-04 1.454e-06 73 isolation_effect 1.555e-04 1.454e-06 74 perception 1.555e-04 1.454e-06 75 collection 1.555e-04 1.454e-06 76 intentionality 1.555e-04 1.454e-06 77 injunctive_norms 1.555e-04 1.454e-06 78 personality 1.555e-04 1.454e-06 79 possibility_effect 1.555e-04 1.454e-06 80 vicarious_experience 1.555e-04 1.454e-06 81 response_efficacy 1.555e-04 1.454e-06 82 perceived_vulnerability 1.555e-04 1.454e-06 83 evaluating 1.555e-04 1.454e-06 84 physical_quality 1.555e-04 1.454e-06 85 knowledge 1.555e-04 1.454e-06 86 self-identity 1.555e-04 1.454e-06 87 history 1.555e-04 1.453e-06 88 perceived_efficacy 1.555e-04 1.453e-06 89 imagination 1.555e-04 1.453e-06 90 learning 1.555e-04 1.453e-06 91 adaptive_response 1.555e-04 1.453e-06 92 modeling 1.555e-04 1.453e-06 93 _do 2.326e-05 0 94 _hate1 2.326e-05 0 95 _hate2 2.326e-05 0 96 _suicide1 2.326e-05 0 97 _suicide2 2.326e-05 0 98 active 2.326e-05 0 99 adaptive 2.326e-05 0 100 awareness 2.326e-05 0
Value statistics Min: 2.326e-05 Mean: 1.359e-04 Lower quartile: 1.555e-04 Max: 1.555e-04 Std.dev: 4.699e-05 Median: 1.555e-04 Upper quartile: 1.555e-04
Unscaled value statistics Min: 2.174e-07 Mean: 1.270e-06 Lower quartile: 1.454e-06 Max: 1.454e-06 Std.dev: 4.391e-07 Median: 1.454e-06 Upper quartile: 1.454e-06 Centrality, Contribution
This computes Eigenvector Centrality on a transformation of the input network. Link values are transformed to be proportional to the dissimilarity of the nodes they connect. The intuition is that a link between two nodes with the same neighbors is not an important link since neither node gains new neighbors by the connection. Specifically, each link is weighted by the inverse of the Jaccard similarity of its nodes.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Behavioral x Behavioral]
Rank Behavioral Value Unscaled 1 personality 0.570 0.403 2 perceived_vulnerability 0.299 0.212 3 perception 0.296 0.210 4 belief 0.266 0.188 5 combining 0.236 0.167 6 protection_effect 0.220 0.155 7 intrinsic_rewards 0.216 0.153 8 focus 0.210 0.149 9 extrinsic_rewards 0.193 0.137 10 possibility_effect 0.189 0.134 11 behavior 0.178 0.126 12 appraisal 0.176 0.124 13 intelligence 0.173 0.122 14 physical_quality 0.166 0.117 15 participant_modeling 0.164 0.116 16 syllogistic_rules 0.161 0.114 17 process 0.159 0.112 18 knowledge 0.158 0.111 19 perceived_responsibility 0.147 0.104 20 segregating 0.139 0.098 21 isolation_effect 0.136 0.096 22 fear_arousal 0.134 0.095 23 certainty_effect 0.134 0.095 24 activity 0.132 0.094 25 mental_calculation 0.132 0.093 26 behavior_control-ability 0.127 0.090 27 persistence 0.126 0.089 28 action 0.122 0.087 29 perceived_consensus 0.119 0.084 30 experiential_awareness 0.118 0.083 31 learning 0.118 0.083 32 perceived_uniqueness 0.114 0.081 33 evaluating 0.108 0.076 34 impulsive_effect 0.107 0.076 35 intentionality 0.106 0.075 36 experience 0.103 0.073 37 frustration_of_needs 0.102 0.072 38 satisfaction_of_needs 0.094 0.066 39 collection 0.093 0.065 40 modeling 0.091 0.064 41 mastery_experience 0.087 0.062 42 function 0.081 0.057 43 live_modeling 0.077 0.054 44 history 0.076 0.054 45 vicarious_experience 0.075 0.053 46 situational_circumstance 0.074 0.053 47 motivation 0.070 0.049 48 norms 0.069 0.049 49 constraint 0.063 0.045 50 self-efficacy 0.058 0.041 51 generalizing 0.056 0.039 52 imagination 0.055 0.039 53 comply_effect 0.048 0.034 54 internalization 0.046 0.032 55 arousal 0.044 0.031 56 circumstances 0.042 0.030 57 coding 0.031 0.022 58 a_memory 0.026 0.019 59 emotional_intelligence 0.025 0.018 60 symbolic_modeling 0.025 0.017 61 prospect 0.018 0.013 62 social_circumstance 0.017 0.012 63 forethought_capability 0.015 0.011 64 empowerment 0.013 0.009 65 conscientiousness 0.010 0.007 66 neuroticism 0.010 0.007 67 agreeableness 0.009 0.006 68 extraversion 0.007 0.005 69 disposition 0.006 0.005 70 social_identity 0.006 0.004 71 subjective_norms 0.006 0.004 72 extrinsic_motivation 0.005 0.003 73 intrinsic_motivation 0.004 0.003 74 perceived_behavioral_control 0.004 0.003 75 cognitive_process 0.003 0.002 76 personality_trait 0.003 0.002 77 introversion 0.003 0.002 78 risk-taking_effect 0.002 0.002 79 threat_appraisal 0.002 0.002 80 group_norms 0.002 0.001 81 self-identity 0.002 0.001 82 response_efficacy 0.002 0.001 83 amotivation 0.001 9.148e-04 84 alertness 0.001 7.133e-04 85 coping_appraisal 9.979e-04 7.056e-04 86 descriptive_norm 8.806e-04 6.227e-04 87 amplification 7.196e-04 5.089e-04 88 injunctive_norm 6.431e-04 4.547e-04 89 perceived_efficacy 6.096e-04 4.311e-04 90 descriptive_norms 5.953e-04 4.209e-04 91 injunctive_norms 5.016e-04 3.547e-04 92 adaptive_response 3.635e-04 2.571e-04 93 _do 0 0 94 _hate1 0 0 95 _hate2 0 0 96 _suicide1 0 0 97 _suicide2 0 0 98 active 0 0 99 adaptive 0 0 100 awareness 0 0
Value statistics Min: 0 Mean: 0.073 Lower quartile: 0.002 Max: 0.570 Std.dev: 0.090 Median: 0.045 Upper quartile: 0.124
Unscaled value statistics Min: 0 Mean: 0.052 Lower quartile: 0.001 Max: 0.403 Std.dev: 0.063 Median: 0.032 Upper quartile: 0.088 Centrality, Eccentricity
The Eccentricity Centrality of a node is the normalized inverse of its maximum distance to any other node. It is highest when the distance to all other nodes is small.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Behavioral x Behavioral]
Rank Behavioral Value 1 a_memory 4 2 activity 4 3 adaptive_response 4 4 alertness 4 5 appraisal 4 6 arousal 4 7 behavior 4 8 coding 4 9 collection 4 10 combining 4 11 comply_effect 4 12 conscientiousness 4 13 constraint 4 14 empowerment 4 15 evaluating 4 16 experience 4 17 experiential_awareness 4 18 extrinsic_motivation 4 19 extrinsic_rewards 4 20 generalizing 4 21 group_norms 4 22 history 4 23 imagination 4 24 injunctive_norms 4 25 intelligence 4 26 intentionality 4 27 internalization 4 28 intrinsic_rewards 4 29 isolation_effect 4 30 knowledge 4 31 learning 4 32 live_modeling 4 33 mastery_experience 4 34 modeling 4 35 norms 4 36 participant_modeling 4 37 perceived_behavioral_control 4 38 perceived_consensus 4 39 perceived_efficacy 4 40 perceived_vulnerability 4 41 perception 4 42 persistence 4 43 personality 4 44 personality_trait 4 45 physical_quality 4 46 possibility_effect 4 47 process 4 48 prospect 4 49 protection_effect 4 50 response_efficacy 4 51 risk-taking_effect 4 52 self-identity 4 53 social_circumstance 4 54 syllogistic_rules 4 55 vicarious_experience 4 56 action 3 57 agreeableness 3 58 amotivation 3 59 amplification 3 60 behavior_control-ability 3 61 belief 3 62 certainty_effect 3 63 circumstances 3 64 cognitive_process 3 65 coping_appraisal 3 66 descriptive_norm 3 67 descriptive_norms 3 68 disposition 3 69 emotional_intelligence 3 70 extraversion 3 71 fear_arousal 3 72 focus 3 73 forethought_capability 3 74 frustration_of_needs 3 75 function 3 76 impulsive_effect 3 77 injunctive_norm 3 78 intrinsic_motivation 3 79 introversion 3 80 mental_calculation 3 81 motivation 3 82 neuroticism 3 83 perceived_responsibility 3 84 perceived_uniqueness 3 85 satisfaction_of_needs 3 86 segregating 3 87 self-efficacy 3 88 situational_circumstance 3 89 social_identity 3 90 subjective_norms 3 91 symbolic_modeling 3 92 threat_appraisal 3 93 _do 0 94 _hate1 0 95 _hate2 0 96 _suicide1 0 97 _suicide2 0 98 active 0 99 adaptive 0 100 awareness 0
Unscaled value statistics Min: 0 Mean: 3.065 Lower quartile: 3 Max: 4 Std.dev: 1.356 Median: 4 Upper quartile: 4 Centrality, Ego Betweenness
The Ego (Network) Betweenness Centrality of node in a network is its betweenness score within its own ego network. The ego network contains the following: the node itself, its immediate neighbor nodes, and all links between them.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Behavioral x Behavioral]
Rank Behavioral Value 1 adaptive_response 1 2 alertness 1 3 amotivation 1 4 cognitive_process 1 5 perceived_efficacy 1 6 personality_trait 1 7 self-identity 1 8 introversion 0.994 9 empowerment 0.991 10 prospect 0.984 11 response_efficacy 0.982 12 risk-taking_effect 0.973 13 disposition 0.962 14 descriptive_norms 0.952 15 group_norms 0.952 16 amplification 0.946 17 social_identity 0.871 18 coping_appraisal 0.792 19 intrinsic_motivation 0.764 20 threat_appraisal 0.715 21 perceived_behavioral_control 0.706 22 social_circumstance 0.697 23 extrinsic_motivation 0.691 24 forethought_capability 0.642 25 descriptive_norm 0.630 26 subjective_norms 0.585 27 injunctive_norms 0.583 28 emotional_intelligence 0.559 29 a_memory 0.513 30 injunctive_norm 0.497 31 coding 0.482 32 extraversion 0.425 33 conscientiousness 0.384 34 symbolic_modeling 0.330 35 agreeableness 0.322 36 arousal 0.251 37 circumstances 0.251 38 internalization 0.178 39 generalizing 0.156 40 constraint 0.137 41 neuroticism 0.128 42 self-efficacy 0.117 43 norms 0.117 44 motivation 0.117 45 behavior_control-ability 0.086 46 situational_circumstance 0.084 47 mental_calculation 0.083 48 comply_effect 0.072 49 persistence 0.070 50 live_modeling 0.068 51 satisfaction_of_needs 0.068 52 appraisal 0.046 53 collection 0.046 54 fear_arousal 0.044 55 action 0.043 56 belief 0.038 57 frustration_of_needs 0.035 58 evaluating 0.035 59 function 0.034 60 focus 0.031 61 perceived_uniqueness 0.030 62 behavior 0.030 63 intrinsic_rewards 0.029 64 syllogistic_rules 0.028 65 mastery_experience 0.028 66 segregating 0.026 67 impulsive_effect 0.025 68 process 0.024 69 certainty_effect 0.024 70 imagination 0.023 71 vicarious_experience 0.022 72 intelligence 0.021 73 participant_modeling 0.020 74 extrinsic_rewards 0.020 75 perceived_responsibility 0.018 76 isolation_effect 0.018 77 activity 0.018 78 experiential_awareness 0.017 79 experience 0.013 80 possibility_effect 0.013 81 combining 0.013 82 intentionality 0.012 83 protection_effect 0.012 84 perceived_consensus 0.011 85 perception 0.010 86 physical_quality 0.009 87 personality 0.006 88 perceived_vulnerability 0.006 89 learning 0.006 90 modeling 0.005 91 history 0.004 92 knowledge 0.004 93 _do 0 94 _hate1 0 95 _hate2 0 96 _suicide1 0 97 _suicide2 0 98 active 0 99 adaptive 0 100 awareness 0
Unscaled value statistics Min: 0 Mean: 0.276 Lower quartile: 0.012 Max: 1 Std.dev: 0.368 Median: 0.043 Upper quartile: 0.571 Centrality, Eigenvector
Calculates the principal eigenvector of the network. A node is central to the extent that its neighbors are central.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Behavioral x Behavioral]
Rank Behavioral Value Unscaled 1 personality 0.476 0.337 2 perception 0.334 0.236 3 perceived_vulnerability 0.328 0.232 4 belief 0.306 0.216 5 combining 0.280 0.198 6 protection_effect 0.264 0.187 7 intrinsic_rewards 0.261 0.185 8 focus 0.256 0.181 9 extrinsic_rewards 0.230 0.163 10 possibility_effect 0.220 0.155 11 behavior 0.198 0.140 12 intelligence 0.198 0.140 13 appraisal 0.193 0.137 14 physical_quality 0.184 0.130 15 participant_modeling 0.181 0.128 16 syllogistic_rules 0.172 0.122 17 process 0.168 0.119 18 knowledge 0.164 0.116 19 perceived_responsibility 0.151 0.106 20 segregating 0.130 0.092 21 activity 0.124 0.088 22 isolation_effect 0.123 0.087 23 certainty_effect 0.123 0.087 24 fear_arousal 0.116 0.082 25 mental_calculation 0.112 0.079 26 behavior_control-ability 0.110 0.078 27 action 0.104 0.073 28 perceived_consensus 0.103 0.073 29 persistence 0.102 0.072 30 learning 0.098 0.069 31 experiential_awareness 0.097 0.068 32 perceived_uniqueness 0.096 0.068 33 evaluating 0.084 0.060 34 impulsive_effect 0.082 0.058 35 intentionality 0.081 0.058 36 experience 0.081 0.057 37 frustration_of_needs 0.076 0.054 38 collection 0.068 0.048 39 satisfaction_of_needs 0.066 0.047 40 modeling 0.063 0.045 41 mastery_experience 0.061 0.043 42 function 0.058 0.041 43 live_modeling 0.052 0.037 44 history 0.051 0.036 45 vicarious_experience 0.050 0.036 46 situational_circumstance 0.050 0.035 47 motivation 0.046 0.033 48 norms 0.045 0.032 49 constraint 0.040 0.029 50 self-efficacy 0.037 0.026 51 imagination 0.035 0.025 52 generalizing 0.035 0.024 53 comply_effect 0.030 0.021 54 internalization 0.028 0.020 55 arousal 0.027 0.019 56 circumstances 0.025 0.018 57 coding 0.019 0.013 58 a_memory 0.015 0.011 59 emotional_intelligence 0.014 0.010 60 symbolic_modeling 0.014 0.010 61 prospect 0.010 0.007 62 social_circumstance 0.009 0.007 63 forethought_capability 0.008 0.006 64 empowerment 0.007 0.005 65 conscientiousness 0.006 0.004 66 neuroticism 0.005 0.004 67 agreeableness 0.005 0.003 68 extraversion 0.004 0.003 69 disposition 0.003 0.002 70 social_identity 0.003 0.002 71 subjective_norms 0.003 0.002 72 intrinsic_motivation 0.003 0.002 73 extrinsic_motivation 0.002 0.002 74 perceived_behavioral_control 0.002 0.002 75 personality_trait 0.002 0.001 76 cognitive_process 0.002 0.001 77 introversion 0.002 0.001 78 threat_appraisal 0.001 8.999e-04 79 risk-taking_effect 0.001 8.703e-04 80 group_norms 0.001 7.099e-04 81 self-identity 9.427e-04 6.666e-04 82 response_efficacy 9.082e-04 6.422e-04 83 amotivation 6.575e-04 4.650e-04 84 coping_appraisal 5.688e-04 4.022e-04 85 alertness 5.520e-04 3.903e-04 86 descriptive_norm 5.215e-04 3.687e-04 87 amplification 4.134e-04 2.923e-04 88 injunctive_norm 3.899e-04 2.757e-04 89 perceived_efficacy 3.533e-04 2.498e-04 90 descriptive_norms 3.383e-04 2.392e-04 91 injunctive_norms 2.496e-04 1.765e-04 92 adaptive_response 2.152e-04 1.522e-04 93 _do 0 0 94 _hate1 0 0 95 _hate2 0 0 96 _suicide1 0 0 97 _suicide2 0 0 98 active 0 0 99 adaptive 0 0 100 awareness 0 0
Value statistics Min: 0 Mean: 0.069 Lower quartile: 9.254e-04 Max: 0.476 Std.dev: 0.093 Median: 0.027 Upper quartile: 0.103
Unscaled value statistics Min: 0 Mean: 0.049 Lower quartile: 6.544e-04 Max: 0.337 Std.dev: 0.066 Median: 0.019 Upper quartile: 0.073 Centrality, Exponential Rank
Computes the Exponential Ranking Centrality that defines the centrality of a node as its trustworthiness, which is based on the degree to which other nodes trust it. The link values define initial trust between nodes: positive values indicate trust and negative values distrust (negative link values can be used). This measure is similar to eigenvector centrality.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Behavioral x Behavioral]
Rank Behavioral Value Unscaled 1 personality 1 0.011 2 perceived_vulnerability 0.922 0.010 3 perception 0.920 0.010 4 belief 0.911 0.010 5 combining 0.896 0.010 6 protection_effect 0.889 0.010 7 intrinsic_rewards 0.889 0.010 8 focus 0.886 0.010 9 extrinsic_rewards 0.878 0.010 10 possibility_effect 0.870 0.010 11 behavior 0.866 0.010 12 intelligence 0.864 0.010 13 appraisal 0.862 0.010 14 physical_quality 0.859 0.010 15 participant_modeling 0.858 0.010 16 syllogistic_rules 0.855 0.010 17 process 0.854 0.010 18 knowledge 0.853 0.010 19 perceived_responsibility 0.849 0.010 20 segregating 0.840 0.009 21 activity 0.839 0.009 22 certainty_effect 0.838 0.009 23 isolation_effect 0.837 0.009 24 fear_arousal 0.835 0.009 25 behavior_control-ability 0.833 0.009 26 mental_calculation 0.833 0.009 27 perceived_consensus 0.833 0.009 28 action 0.832 0.009 29 perceived_uniqueness 0.830 0.009 30 learning 0.830 0.009 31 persistence 0.830 0.009 32 experiential_awareness 0.829 0.009 33 experience 0.826 0.009 34 evaluating 0.825 0.009 35 impulsive_effect 0.825 0.009 36 intentionality 0.824 0.009 37 frustration_of_needs 0.823 0.009 38 collection 0.820 0.009 39 satisfaction_of_needs 0.819 0.009 40 mastery_experience 0.818 0.009 41 function 0.818 0.009 42 modeling 0.817 0.009 43 live_modeling 0.816 0.009 44 history 0.815 0.009 45 situational_circumstance 0.815 0.009 46 vicarious_experience 0.814 0.009 47 motivation 0.814 0.009 48 norms 0.814 0.009 49 constraint 0.812 0.009 50 self-efficacy 0.811 0.009 51 imagination 0.810 0.009 52 generalizing 0.810 0.009 53 comply_effect 0.809 0.009 54 internalization 0.809 0.009 55 arousal 0.808 0.009 56 circumstances 0.807 0.009 57 coding 0.805 0.009 58 a_memory 0.804 0.009 59 symbolic_modeling 0.804 0.009 60 emotional_intelligence 0.804 0.009 61 social_circumstance 0.803 0.009 62 forethought_capability 0.802 0.009 63 prospect 0.802 0.009 64 conscientiousness 0.802 0.009 65 empowerment 0.802 0.009 66 neuroticism 0.802 0.009 67 agreeableness 0.802 0.009 68 extraversion 0.801 0.009 69 disposition 0.801 0.009 70 social_identity 0.801 0.009 71 subjective_norms 0.801 0.009 72 extrinsic_motivation 0.801 0.009 73 intrinsic_motivation 0.801 0.009 74 perceived_behavioral_control 0.801 0.009 75 cognitive_process 0.800 0.009 76 personality_trait 0.800 0.009 77 threat_appraisal 0.800 0.009 78 introversion 0.800 0.009 79 group_norms 0.800 0.009 80 risk-taking_effect 0.800 0.009 81 response_efficacy 0.800 0.009 82 self-identity 0.800 0.009 83 coping_appraisal 0.800 0.009 84 amotivation 0.800 0.009 85 descriptive_norm 0.800 0.009 86 amplification 0.800 0.009 87 injunctive_norm 0.800 0.009 88 alertness 0.800 0.009 89 descriptive_norms 0.800 0.009 90 perceived_efficacy 0.800 0.009 91 injunctive_norms 0.800 0.009 92 adaptive_response 0.800 0.009 93 _do 0.800 0.009 94 _hate1 0.800 0.009 95 _hate2 0.800 0.009 96 _suicide1 0.800 0.009 97 _suicide2 0.800 0.009 98 active 0.800 0.009 99 adaptive 0.800 0.009 100 awareness 0.800 0.009
Value statistics Min: 0.800 Mean: 0.823 Lower quartile: 0.800 Max: 1 Std.dev: 0.034 Median: 0.808 Upper quartile: 0.832
Unscaled value statistics Min: 0.009 Mean: 0.009 Lower quartile: 0.009 Max: 0.011 Std.dev: 3.792e-04 Median: 0.009 Upper quartile: 0.009 Centrality, Hub
A node is hub-central to the extent that its out-links are to nodes that have many in-links. Individuals or organizations that act as hubs are sending information to a wide range of others each of whom has many others reporting to them. Technically, an agent is hub-central if its out-links are to agents that have many other agents sending links to them. The scientific name of this measure is hub centrality and it is calculated on agent by agent matrices.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Behavioral x Behavioral]
Rank Behavioral Value Unscaled 1 personality 0.476 0.337 2 perception 0.334 0.236 3 perceived_vulnerability 0.328 0.232 4 belief 0.306 0.216 5 combining 0.280 0.198 6 protection_effect 0.264 0.187 7 intrinsic_rewards 0.261 0.185 8 focus 0.256 0.181 9 extrinsic_rewards 0.230 0.163 10 possibility_effect 0.220 0.155 11 behavior 0.198 0.140 12 intelligence 0.198 0.140 13 appraisal 0.193 0.137 14 physical_quality 0.184 0.130 15 participant_modeling 0.181 0.128 16 syllogistic_rules 0.172 0.122 17 process 0.168 0.119 18 knowledge 0.164 0.116 19 perceived_responsibility 0.151 0.106 20 segregating 0.130 0.092 21 activity 0.124 0.088 22 isolation_effect 0.123 0.087 23 certainty_effect 0.123 0.087 24 fear_arousal 0.116 0.082 25 mental_calculation 0.112 0.079 26 behavior_control-ability 0.110 0.078 27 action 0.104 0.073 28 perceived_consensus 0.103 0.073 29 persistence 0.102 0.072 30 learning 0.098 0.069 31 experiential_awareness 0.097 0.068 32 perceived_uniqueness 0.096 0.068 33 evaluating 0.084 0.060 34 impulsive_effect 0.082 0.058 35 intentionality 0.081 0.058 36 experience 0.081 0.057 37 frustration_of_needs 0.076 0.054 38 collection 0.068 0.048 39 satisfaction_of_needs 0.066 0.047 40 modeling 0.063 0.045 41 mastery_experience 0.061 0.043 42 function 0.058 0.041 43 live_modeling 0.052 0.037 44 history 0.051 0.036 45 vicarious_experience 0.050 0.036 46 situational_circumstance 0.050 0.035 47 motivation 0.046 0.033 48 norms 0.045 0.032 49 constraint 0.040 0.029 50 self-efficacy 0.037 0.026 51 imagination 0.035 0.025 52 generalizing 0.035 0.024 53 comply_effect 0.030 0.021 54 internalization 0.028 0.020 55 arousal 0.027 0.019 56 circumstances 0.025 0.018 57 coding 0.019 0.013 58 a_memory 0.015 0.011 59 emotional_intelligence 0.014 0.010 60 symbolic_modeling 0.014 0.010 61 prospect 0.010 0.007 62 social_circumstance 0.009 0.007 63 forethought_capability 0.008 0.006 64 empowerment 0.007 0.005 65 conscientiousness 0.006 0.004 66 neuroticism 0.005 0.004 67 agreeableness 0.005 0.003 68 extraversion 0.004 0.003 69 disposition 0.003 0.002 70 social_identity 0.003 0.002 71 subjective_norms 0.003 0.002 72 intrinsic_motivation 0.003 0.002 73 extrinsic_motivation 0.002 0.002 74 perceived_behavioral_control 0.002 0.002 75 personality_trait 0.002 0.001 76 cognitive_process 0.002 0.001 77 introversion 0.002 0.001 78 threat_appraisal 0.001 8.999e-04 79 risk-taking_effect 0.001 8.703e-04 80 group_norms 0.001 7.099e-04 81 self-identity 9.427e-04 6.666e-04 82 response_efficacy 9.082e-04 6.422e-04 83 amotivation 6.575e-04 4.650e-04 84 coping_appraisal 5.688e-04 4.022e-04 85 alertness 5.520e-04 3.903e-04 86 descriptive_norm 5.215e-04 3.687e-04 87 amplification 4.134e-04 2.923e-04 88 injunctive_norm 3.899e-04 2.757e-04 89 perceived_efficacy 3.533e-04 2.498e-04 90 descriptive_norms 3.383e-04 2.392e-04 91 injunctive_norms 2.496e-04 1.765e-04 92 adaptive_response 2.152e-04 1.522e-04 93 _do 0 0 94 _hate1 0 0 95 _hate2 0 0 96 _suicide1 0 0 97 _suicide2 0 0 98 active 0 0 99 adaptive 0 0 100 awareness 0 0
Value statistics Min: 0 Mean: 0.069 Lower quartile: 9.254e-04 Max: 0.476 Std.dev: 0.093 Median: 0.027 Upper quartile: 0.103
Unscaled value statistics Min: 0 Mean: 0.049 Lower quartile: 6.544e-04 Max: 0.337 Std.dev: 0.066 Median: 0.019 Upper quartile: 0.073 Centrality, In-Closeness
The closeness of all other nodes to a node in the network. Loosely, In-Closeness Centrality is the inverse of the sum of distances in the network to a node and from all other nodes.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Behavioral x Behavioral]
Rank Behavioral Value Unscaled 1 emotional_intelligence 7.387e-06 0 2 subjective_norms 7.387e-06 0 3 agreeableness 7.387e-06 0 4 behavior_control-ability 7.387e-06 0 5 conscientiousness 7.387e-06 0 6 disposition 7.387e-06 0 7 forethought_capability 7.387e-06 0 8 appraisal 7.387e-06 0 9 extraversion 7.387e-06 0 10 motivation 7.387e-06 0 11 symbolic_modeling 7.387e-06 0 12 internalization 7.387e-06 0 13 mental_calculation 7.387e-06 0 14 behavior 7.387e-06 0 15 circumstances 7.387e-06 0 16 extrinsic_motivation 7.387e-06 0 17 intrinsic_motivation 7.387e-06 0 18 syllogistic_rules 7.387e-06 0 19 belief 7.387e-06 0 20 frustration_of_needs 7.387e-06 0 21 norms 7.387e-06 0 22 persistence 7.387e-06 0 23 social_circumstance 7.387e-06 0 24 fear_arousal 7.387e-06 0 25 neuroticism 7.387e-06 0 26 self-efficacy 7.387e-06 0 27 certainty_effect 7.387e-06 0 28 focus 7.387e-06 0 29 situational_circumstance 7.387e-06 0 30 action 7.387e-06 0 31 generalizing 7.387e-06 0 32 intrinsic_rewards 7.387e-06 0 33 empowerment 7.387e-06 0 34 impulsive_effect 7.387e-06 0 35 prospect 7.387e-06 0 36 satisfaction_of_needs 7.387e-06 0 37 threat_appraisal 7.387e-06 0 38 comply_effect 7.387e-06 0 39 function 7.387e-06 0 40 a_memory 7.387e-06 0 41 coding 7.387e-06 0 42 perceived_uniqueness 7.387e-06 0 43 segregating 7.387e-06 0 44 cognitive_process 7.387e-06 0 45 process 7.387e-06 0 46 activity 7.387e-06 0 47 perceived_behavioral_control 7.387e-06 0 48 coping_appraisal 7.387e-06 0 49 descriptive_norms 7.387e-06 0 50 intelligence 7.387e-06 0 51 perceived_responsibility 7.387e-06 0 52 descriptive_norm 7.387e-06 0 53 live_modeling 7.387e-06 0 54 combining 7.387e-06 0 55 experiential_awareness 7.387e-06 0 56 introversion 7.387e-06 0 57 mastery_experience 7.387e-06 0 58 participant_modeling 7.387e-06 0 59 amplification 7.387e-06 0 60 injunctive_norm 7.387e-06 0 61 protection_effect 7.387e-06 0 62 arousal 7.387e-06 0 63 social_identity 7.387e-06 0 64 amotivation 7.387e-06 0 65 constraint 7.387e-06 0 66 experience 7.387e-06 0 67 group_norms 7.387e-06 0 68 perceived_consensus 7.387e-06 0 69 risk-taking_effect 7.387e-06 0 70 extrinsic_rewards 7.387e-06 0 71 alertness 7.387e-06 0 72 personality_trait 7.387e-06 0 73 isolation_effect 7.387e-06 0 74 perception 7.387e-06 0 75 collection 7.387e-06 0 76 intentionality 7.387e-06 0 77 injunctive_norms 7.387e-06 0 78 personality 7.387e-06 0 79 possibility_effect 7.387e-06 0 80 response_efficacy 7.387e-06 0 81 vicarious_experience 7.387e-06 0 82 perceived_vulnerability 7.387e-06 0 83 evaluating 7.387e-06 0 84 physical_quality 7.387e-06 0 85 knowledge 7.387e-06 0 86 self-identity 7.387e-06 0 87 history 7.387e-06 0 88 perceived_efficacy 7.387e-06 0 89 imagination 7.387e-06 0 90 learning 7.387e-06 0 91 adaptive_response 7.387e-06 0 92 modeling 7.387e-06 0 93 _do 5.816e-06 0 94 _hate1 5.816e-06 0 95 _hate2 5.816e-06 0 96 _suicide1 5.816e-06 0 97 _suicide2 5.816e-06 0 98 active 5.816e-06 0 99 adaptive 5.816e-06 0 100 awareness 5.816e-06 0
Value statistics Min: 5.816e-06 Mean: 7.154e-06 Lower quartile: 7.387e-06 Max: 7.387e-06 Std.dev: 5.579e-07 Median: 7.387e-06 Upper quartile: 7.387e-06
Unscaled value statistics Min: 5.436e-08 Mean: 6.686e-08 Lower quartile: 6.903e-08 Max: 6.903e-08 Std.dev: 5.214e-09 Median: 6.903e-08 Upper quartile: 6.903e-08 Centrality, In-Degree
The number of links directed into a node normalized by the maximum number of such links. This measure is also called Column Degree Centrality because it is computed by taking the sum of the column values in the input network.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Behavioral x Behavioral]
Rank Behavioral Value Unscaled 1 personality 0.216 9,204 2 perceived_vulnerability 0.136 5,799 3 perception 0.134 5,707 4 belief 0.125 5,311 5 combining 0.108 4,607 6 protection_effect 0.101 4,302 7 intrinsic_rewards 0.101 4,280 8 focus 0.097 4,131 9 extrinsic_rewards 0.088 3,764 10 possibility_effect 0.080 3,413 11 behavior 0.076 3,240 12 intelligence 0.073 3,126 13 appraisal 0.071 3,025 14 physical_quality 0.068 2,907 15 participant_modeling 0.067 2,858 16 syllogistic_rules 0.064 2,720 17 process 0.063 2,669 18 knowledge 0.061 2,588 19 perceived_responsibility 0.057 2,422 20 segregating 0.046 1,965 21 activity 0.045 1,907 22 certainty_effect 0.045 1,904 23 isolation_effect 0.043 1,850 24 fear_arousal 0.041 1,758 25 behavior_control-ability 0.039 1,660 26 mental_calculation 0.039 1,644 27 perceived_consensus 0.038 1,634 28 action 0.037 1,567 29 perceived_uniqueness 0.036 1,513 30 learning 0.035 1,498 31 persistence 0.035 1,489 32 experiential_awareness 0.034 1,446 33 experience 0.030 1,283 34 evaluating 0.030 1,262 35 impulsive_effect 0.029 1,245 36 intentionality 0.029 1,220 37 frustration_of_needs 0.028 1,177 38 collection 0.024 1,005 39 satisfaction_of_needs 0.022 936 40 mastery_experience 0.021 911 41 function 0.021 885 42 modeling 0.020 868 43 live_modeling 0.018 787 44 history 0.018 773 45 situational_circumstance 0.018 763 46 vicarious_experience 0.017 723 47 motivation 0.017 707 48 norms 0.016 686 49 constraint 0.014 609 50 self-efficacy 0.013 556 51 imagination 0.013 535 52 generalizing 0.012 490 53 comply_effect 0.011 454 54 internalization 0.010 442 55 arousal 0.009 403 56 circumstances 0.009 379 57 coding 0.006 267 58 a_memory 0.005 234 59 symbolic_modeling 0.005 199 60 emotional_intelligence 0.005 194 61 social_circumstance 0.003 138 62 forethought_capability 0.003 132 63 prospect 0.003 122 64 conscientiousness 0.003 107 65 empowerment 0.002 99 66 neuroticism 0.002 99 67 agreeableness 0.002 92 68 extraversion 0.002 72 69 disposition 0.001 54 70 social_identity 0.001 54 71 subjective_norms 0.001 54 72 extrinsic_motivation 0.001 48 73 intrinsic_motivation 9.628e-04 41 74 perceived_behavioral_control 9.158e-04 39 75 cognitive_process 6.105e-04 26 76 personality_trait 5.401e-04 23 77 threat_appraisal 4.931e-04 21 78 introversion 4.696e-04 20 79 group_norms 4.227e-04 18 80 risk-taking_effect 3.757e-04 16 81 response_efficacy 2.818e-04 12 82 self-identity 2.583e-04 11 83 coping_appraisal 2.348e-04 10 84 amotivation 2.113e-04 9 85 descriptive_norm 2.113e-04 9 86 amplification 1.879e-04 8 87 injunctive_norm 1.879e-04 8 88 alertness 1.644e-04 7 89 descriptive_norms 1.644e-04 7 90 perceived_efficacy 1.409e-04 6 91 injunctive_norms 1.174e-04 5 92 adaptive_response 9.393e-05 4 93 _do 0 0 94 _hate1 0 0 95 _hate2 0 0 96 _suicide1 0 0 97 _suicide2 0 0 98 active 0 0 99 adaptive 0 0 100 awareness 0 0
Value statistics Min: 0 Mean: 0.026 Lower quartile: 2.700e-04 Max: 0.216 Std.dev: 0.038 Median: 0.010 Upper quartile: 0.038
Unscaled value statistics Min: 0 Mean: 1,104.370 Lower quartile: 11.500 Max: 9,204 Std.dev: 1,598.477 Median: 422.500 Upper quartile: 1,600.500 Centrality, In-Inverse Closeness
The average closeness of a node to the other nodes in a network considering only paths emanating out from a node. Inverse Closeness is the sum of the inverse distances between a node and all other nodes.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Behavioral x Behavioral]
Rank Behavioral Value Unscaled 1 emotional_intelligence 0.497 53.167 2 subjective_norms 0.494 52.833 3 conscientiousness 0.487 52.083 4 agreeableness 0.483 51.667 5 disposition 0.478 51.167 6 behavior_control-ability 0.477 51 7 forethought_capability 0.466 49.833 8 appraisal 0.459 49.083 9 extraversion 0.455 48.667 10 symbolic_modeling 0.455 48.667 11 internalization 0.451 48.250 12 motivation 0.450 48.167 13 extrinsic_motivation 0.449 48.083 14 circumstances 0.447 47.833 15 intrinsic_motivation 0.442 47.333 16 belief 0.438 46.833 17 mental_calculation 0.435 46.500 18 behavior 0.434 46.417 19 norms 0.432 46.250 20 social_circumstance 0.432 46.250 21 prospect 0.431 46.083 22 syllogistic_rules 0.431 46.083 23 threat_appraisal 0.428 45.833 24 empowerment 0.428 45.750 25 focus 0.427 45.667 26 frustration_of_needs 0.425 45.500 27 neuroticism 0.424 45.333 28 situational_circumstance 0.424 45.333 29 generalizing 0.423 45.250 30 persistence 0.423 45.250 31 fear_arousal 0.422 45.167 32 self-efficacy 0.421 45 33 intrinsic_rewards 0.420 44.917 34 action 0.419 44.833 35 certainty_effect 0.417 44.667 36 coding 0.417 44.667 37 cognitive_process 0.417 44.667 38 satisfaction_of_needs 0.417 44.667 39 perceived_behavioral_control 0.415 44.417 40 a_memory 0.414 44.333 41 impulsive_effect 0.411 44 42 comply_effect 0.409 43.750 43 process 0.407 43.500 44 function 0.403 43.167 45 introversion 0.400 42.833 46 segregating 0.400 42.833 47 descriptive_norm 0.400 42.833 48 perceived_uniqueness 0.400 42.833 49 intelligence 0.400 42.750 50 coping_appraisal 0.399 42.667 51 live_modeling 0.398 42.583 52 perceived_responsibility 0.397 42.500 53 activity 0.396 42.417 54 descriptive_norms 0.396 42.333 55 participant_modeling 0.394 42.167 56 social_identity 0.394 42.167 57 amplification 0.393 42.000 58 injunctive_norm 0.393 42.000 59 protection_effect 0.392 41.917 60 experiential_awareness 0.390 41.750 61 mastery_experience 0.390 41.750 62 combining 0.389 41.667 63 group_norms 0.386 41.250 64 risk-taking_effect 0.382 40.917 65 amotivation 0.382 40.833 66 arousal 0.381 40.750 67 personality_trait 0.380 40.667 68 perception 0.380 40.667 69 alertness 0.377 40.333 70 experience 0.377 40.333 71 constraint 0.375 40.083 72 perceived_consensus 0.375 40.083 73 extrinsic_rewards 0.372 39.833 74 isolation_effect 0.368 39.417 75 collection 0.364 38.917 76 injunctive_norms 0.361 38.583 77 personality 0.361 38.583 78 intentionality 0.357 38.250 79 perceived_vulnerability 0.355 38 80 possibility_effect 0.354 37.917 81 vicarious_experience 0.350 37.500 82 response_efficacy 0.347 37.083 83 evaluating 0.345 36.917 84 self-identity 0.342 36.583 85 physical_quality 0.341 36.500 86 knowledge 0.336 35.917 87 perceived_efficacy 0.335 35.833 88 learning 0.332 35.500 89 history 0.331 35.417 90 imagination 0.330 35.333 91 modeling 0.320 34.250 92 adaptive_response 0.318 34 93 _do 0 0 94 _hate1 0 0 95 _hate2 0 0 96 _suicide1 0 0 97 _suicide2 0 0 98 active 0 0 99 adaptive 0 0 100 awareness 0 0
Value statistics Min: 0 Mean: 0.343 Lower quartile: 0.349 Max: 0.497 Std.dev: 0.148 Median: 0.395 Upper quartile: 0.424
Unscaled value statistics Min: 0 Mean: 36.724 Lower quartile: 37.292 Max: 53.167 Std.dev: 15.837 Median: 42.250 Upper quartile: 45.333 Centrality, Information
Calculates the Stephenson and Zelen information centrality measure for each node.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Behavioral x Behavioral]
Rank Behavioral Value Unscaled 1 personality 0.014 47.860 2 perceived_vulnerability 0.014 47.720 3 perception 0.014 47.712 4 belief 0.014 47.691 5 combining 0.014 47.604 6 intrinsic_rewards 0.014 47.574 7 protection_effect 0.014 47.573 8 focus 0.014 47.558 9 extrinsic_rewards 0.014 47.504 10 possibility_effect 0.014 47.437 11 behavior 0.014 47.427 12 intelligence 0.014 47.377 13 appraisal 0.014 47.360 14 physical_quality 0.014 47.329 15 participant_modeling 0.014 47.318 16 syllogistic_rules 0.014 47.284 17 process 0.014 47.265 18 knowledge 0.014 47.228 19 perceived_responsibility 0.014 47.178 20 segregating 0.014 46.963 21 certainty_effect 0.014 46.934 22 activity 0.014 46.932 23 isolation_effect 0.014 46.892 24 fear_arousal 0.014 46.841 25 behavior_control-ability 0.014 46.775 26 mental_calculation 0.014 46.755 27 perceived_consensus 0.014 46.745 28 action 0.014 46.696 29 perceived_uniqueness 0.014 46.651 30 learning 0.014 46.625 31 persistence 0.014 46.613 32 experiential_awareness 0.014 46.569 33 experience 0.014 46.396 34 evaluating 0.014 46.358 35 impulsive_effect 0.014 46.340 36 intentionality 0.014 46.302 37 frustration_of_needs 0.014 46.251 38 collection 0.014 45.929 39 satisfaction_of_needs 0.014 45.781 40 mastery_experience 0.014 45.719 41 function 0.014 45.665 42 modeling 0.014 45.606 43 live_modeling 0.014 45.375 44 history 0.014 45.325 45 situational_circumstance 0.014 45.301 46 vicarious_experience 0.014 45.144 47 motivation 0.014 45.103 48 norms 0.014 45.028 49 constraint 0.013 44.638 50 self-efficacy 0.013 44.380 51 imagination 0.013 44.205 52 generalizing 0.013 43.879 53 comply_effect 0.013 43.570 54 internalization 0.013 43.481 55 arousal 0.013 43.061 56 circumstances 0.013 42.785 57 coding 0.012 40.875 58 a_memory 0.012 40.026 59 symbolic_modeling 0.012 38.906 60 emotional_intelligence 0.012 38.699 61 social_circumstance 0.011 35.856 62 forethought_capability 0.011 35.452 63 prospect 0.010 34.693 64 conscientiousness 0.010 32.947 65 empowerment 0.010 32.591 66 neuroticism 0.010 32.160 67 agreeableness 0.009 31.284 68 extraversion 0.009 28.669 69 disposition 0.008 25.695 70 subjective_norms 0.008 25.687 71 social_identity 0.008 25.620 72 extrinsic_motivation 0.007 24.244 73 intrinsic_motivation 0.007 22.351 74 perceived_behavioral_control 0.007 21.755 75 cognitive_process 0.005 17.113 76 personality_trait 0.005 15.785 77 threat_appraisal 0.004 14.670 78 introversion 0.004 14.341 79 group_norms 0.004 13.226 80 risk-taking_effect 0.004 12.200 81 response_efficacy 0.003 9.768 82 self-identity 0.003 9.110 83 coping_appraisal 0.003 8.405 84 amotivation 0.002 7.720 85 descriptive_norm 0.002 7.615 86 amplification 0.002 6.984 87 injunctive_norm 0.002 6.743 88 alertness 0.002 6.227 89 descriptive_norms 0.002 6.225 90 perceived_efficacy 0.002 5.434 91 injunctive_norms 0.001 4.466 92 adaptive_response 0.001 3.766 93 _do 0 0 94 _hate1 0 0 95 _hate2 0 0 96 _suicide1 0 0 97 _suicide2 0 0 98 active 0 0 99 adaptive 0 0 100 awareness 0 0
Value statistics Min: 0 Mean: 0.009 Lower quartile: 0.003 Max: 0.014 Std.dev: 0.006 Median: 0.013 Upper quartile: 0.014
Unscaled value statistics Min: 0 Mean: 30.823 Lower quartile: 9.439 Max: 47.860 Std.dev: 18.723 Median: 43.271 Upper quartile: 46.720 Centrality, Inverse Closeness
The average closeness of a node to the other nodes in a network (also called out-inverse closeness centrality). Inverse Closeness is the average inverse distance from a node and to all other nodes.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Behavioral x Behavioral]
Rank Behavioral Value Unscaled 1 emotional_intelligence 0.497 53.167 2 subjective_norms 0.494 52.833 3 conscientiousness 0.487 52.083 4 agreeableness 0.483 51.667 5 disposition 0.478 51.167 6 behavior_control-ability 0.477 51 7 forethought_capability 0.466 49.833 8 appraisal 0.459 49.083 9 extraversion 0.455 48.667 10 symbolic_modeling 0.455 48.667 11 internalization 0.451 48.250 12 motivation 0.450 48.167 13 extrinsic_motivation 0.449 48.083 14 circumstances 0.447 47.833 15 intrinsic_motivation 0.442 47.333 16 belief 0.438 46.833 17 mental_calculation 0.435 46.500 18 behavior 0.434 46.417 19 norms 0.432 46.250 20 social_circumstance 0.432 46.250 21 prospect 0.431 46.083 22 syllogistic_rules 0.431 46.083 23 threat_appraisal 0.428 45.833 24 empowerment 0.428 45.750 25 focus 0.427 45.667 26 frustration_of_needs 0.425 45.500 27 neuroticism 0.424 45.333 28 situational_circumstance 0.424 45.333 29 generalizing 0.423 45.250 30 persistence 0.423 45.250 31 fear_arousal 0.422 45.167 32 self-efficacy 0.421 45 33 intrinsic_rewards 0.420 44.917 34 action 0.419 44.833 35 certainty_effect 0.417 44.667 36 coding 0.417 44.667 37 cognitive_process 0.417 44.667 38 satisfaction_of_needs 0.417 44.667 39 perceived_behavioral_control 0.415 44.417 40 a_memory 0.414 44.333 41 impulsive_effect 0.411 44 42 comply_effect 0.409 43.750 43 process 0.407 43.500 44 function 0.403 43.167 45 descriptive_norm 0.400 42.833 46 introversion 0.400 42.833 47 perceived_uniqueness 0.400 42.833 48 segregating 0.400 42.833 49 intelligence 0.400 42.750 50 coping_appraisal 0.399 42.667 51 live_modeling 0.398 42.583 52 perceived_responsibility 0.397 42.500 53 activity 0.396 42.417 54 descriptive_norms 0.396 42.333 55 participant_modeling 0.394 42.167 56 social_identity 0.394 42.167 57 amplification 0.393 42 58 injunctive_norm 0.393 42 59 protection_effect 0.392 41.917 60 experiential_awareness 0.390 41.750 61 mastery_experience 0.390 41.750 62 combining 0.389 41.667 63 group_norms 0.386 41.250 64 risk-taking_effect 0.382 40.917 65 amotivation 0.382 40.833 66 arousal 0.381 40.750 67 perception 0.380 40.667 68 personality_trait 0.380 40.667 69 alertness 0.377 40.333 70 experience 0.377 40.333 71 constraint 0.375 40.083 72 perceived_consensus 0.375 40.083 73 extrinsic_rewards 0.372 39.833 74 isolation_effect 0.368 39.417 75 collection 0.364 38.917 76 injunctive_norms 0.361 38.583 77 personality 0.361 38.583 78 intentionality 0.357 38.250 79 perceived_vulnerability 0.355 38 80 possibility_effect 0.354 37.917 81 vicarious_experience 0.350 37.500 82 response_efficacy 0.347 37.083 83 evaluating 0.345 36.917 84 self-identity 0.342 36.583 85 physical_quality 0.341 36.500 86 knowledge 0.336 35.917 87 perceived_efficacy 0.335 35.833 88 learning 0.332 35.500 89 history 0.331 35.417 90 imagination 0.330 35.333 91 modeling 0.320 34.250 92 adaptive_response 0.318 34 93 _do 0 0 94 _hate1 0 0 95 _hate2 0 0 96 _suicide1 0 0 97 _suicide2 0 0 98 active 0 0 99 adaptive 0 0 100 awareness 0 0
Value statistics Min: 0 Mean: 0.343 Lower quartile: 0.349 Max: 0.497 Std.dev: 0.148 Median: 0.395 Upper quartile: 0.424
Unscaled value statistics Min: 0 Mean: 36.724 Lower quartile: 37.292 Max: 53.167 Std.dev: 15.837 Median: 42.250 Upper quartile: 45.333 Centrality, Katz
This computes the centrality of each entity based on the centrality of its neighbors. Alpha should be chosen such that its absolute value is less than the reciprocal of the largest eigenvalue of N.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Behavioral x Behavioral]
Rank Behavioral Value Unscaled 1 personality 0.687 1 2 perceived_vulnerability 0.448 0.652 3 perception 0.447 0.650 4 belief 0.414 0.602 5 combining 0.366 0.533 6 protection_effect 0.343 0.500 7 intrinsic_rewards 0.341 0.496 8 focus 0.331 0.481 9 extrinsic_rewards 0.300 0.436 10 possibility_effect 0.277 0.404 11 behavior 0.258 0.375 12 intelligence 0.252 0.367 13 appraisal 0.245 0.356 14 physical_quality 0.235 0.341 15 participant_modeling 0.231 0.336 16 syllogistic_rules 0.220 0.320 17 process 0.215 0.313 18 knowledge 0.209 0.304 19 perceived_responsibility 0.194 0.282 20 segregating 0.161 0.235 21 activity 0.156 0.227 22 certainty_effect 0.155 0.225 23 isolation_effect 0.152 0.221 24 fear_arousal 0.144 0.210 25 mental_calculation 0.137 0.199 26 behavior_control-ability 0.137 0.199 27 perceived_consensus 0.132 0.192 28 action 0.129 0.187 29 persistence 0.124 0.181 30 learning 0.122 0.178 31 perceived_uniqueness 0.122 0.178 32 experiential_awareness 0.119 0.173 33 evaluating 0.104 0.151 34 experience 0.103 0.150 35 impulsive_effect 0.102 0.149 36 intentionality 0.101 0.146 37 frustration_of_needs 0.096 0.140 38 collection 0.083 0.121 39 satisfaction_of_needs 0.079 0.115 40 mastery_experience 0.075 0.110 41 modeling 0.074 0.108 42 function 0.072 0.105 43 live_modeling 0.065 0.094 44 history 0.064 0.093 45 situational_circumstance 0.063 0.091 46 vicarious_experience 0.061 0.088 47 motivation 0.058 0.084 48 norms 0.056 0.082 49 constraint 0.050 0.073 50 self-efficacy 0.046 0.066 51 imagination 0.044 0.063 52 generalizing 0.041 0.060 53 comply_effect 0.037 0.054 54 internalization 0.036 0.052 55 arousal 0.033 0.048 56 circumstances 0.031 0.045 57 coding 0.022 0.033 58 a_memory 0.019 0.028 59 symbolic_modeling 0.017 0.024 60 emotional_intelligence 0.017 0.024 61 social_circumstance 0.011 0.017 62 prospect 0.011 0.016 63 forethought_capability 0.011 0.016 64 empowerment 0.008 0.012 65 conscientiousness 0.008 0.012 66 neuroticism 0.007 0.011 67 agreeableness 0.007 0.010 68 extraversion 0.005 0.008 69 disposition 0.004 0.006 70 social_identity 0.004 0.006 71 subjective_norms 0.004 0.006 72 extrinsic_motivation 0.004 0.005 73 intrinsic_motivation 0.003 0.005 74 perceived_behavioral_control 0.003 0.005 75 cognitive_process 0.002 0.003 76 personality_trait 0.002 0.003 77 introversion 0.002 0.003 78 threat_appraisal 0.002 0.002 79 risk-taking_effect 0.001 0.002 80 group_norms 0.001 0.002 81 response_efficacy 0.001 0.002 82 self-identity 0.001 0.001 83 amotivation 7.759e-04 0.001 84 coping_appraisal 7.755e-04 0.001 85 descriptive_norm 7.022e-04 0.001 86 alertness 6.208e-04 9.031e-04 87 amplification 5.972e-04 8.688e-04 88 injunctive_norm 5.896e-04 8.578e-04 89 descriptive_norms 5.130e-04 7.463e-04 90 perceived_efficacy 4.717e-04 6.863e-04 91 injunctive_norms 3.787e-04 5.510e-04 92 adaptive_response 3.030e-04 4.409e-04 93 _do 0 0 94 _hate1 0 0 95 _hate2 0 0 96 _suicide1 0 0 97 _suicide2 0 0 98 active 0 0 99 adaptive 0 0 100 awareness 0 0
Value statistics Min: 0 Mean: 0.089 Lower quartile: 0.001 Max: 0.687 Std.dev: 0.125 Median: 0.035 Upper quartile: 0.130
Unscaled value statistics Min: 0 Mean: 0.129 Lower quartile: 0.002 Max: 1 Std.dev: 0.182 Median: 0.050 Upper quartile: 0.189 Centrality, Out-Degree
For any node, e.g. an individual or a resource, the out-links are the connections that the node of interest has to other nodes. For example, imagine an agent by knowledge network where the number of out-links an agent would have is the number of pieces of knowledge it is connected to. The scientific name of this measure is out-degree and it can be calculated on any network.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Behavioral x Behavioral]
Rank Behavioral Value Unscaled 1 personality 0.216 9,204 2 perceived_vulnerability 0.136 5,799 3 perception 0.134 5,707 4 belief 0.125 5,311 5 combining 0.108 4,607 6 protection_effect 0.101 4,302 7 intrinsic_rewards 0.101 4,280 8 focus 0.097 4,131 9 extrinsic_rewards 0.088 3,764 10 possibility_effect 0.080 3,413 11 behavior 0.076 3,240 12 intelligence 0.073 3,126 13 appraisal 0.071 3,025 14 physical_quality 0.068 2,907 15 participant_modeling 0.067 2,858 16 syllogistic_rules 0.064 2,720 17 process 0.063 2,669 18 knowledge 0.061 2,588 19 perceived_responsibility 0.057 2,422 20 segregating 0.046 1,965 21 activity 0.045 1,907 22 certainty_effect 0.045 1,904 23 isolation_effect 0.043 1,850 24 fear_arousal 0.041 1,758 25 behavior_control-ability 0.039 1,660 26 mental_calculation 0.039 1,644 27 perceived_consensus 0.038 1,634 28 action 0.037 1,567 29 perceived_uniqueness 0.036 1,513 30 learning 0.035 1,498 31 persistence 0.035 1,489 32 experiential_awareness 0.034 1,446 33 experience 0.030 1,283 34 evaluating 0.030 1,262 35 impulsive_effect 0.029 1,245 36 intentionality 0.029 1,220 37 frustration_of_needs 0.028 1,177 38 collection 0.024 1,005 39 satisfaction_of_needs 0.022 936 40 mastery_experience 0.021 911 41 function 0.021 885 42 modeling 0.020 868 43 live_modeling 0.018 787 44 history 0.018 773 45 situational_circumstance 0.018 763 46 vicarious_experience 0.017 723 47 motivation 0.017 707 48 norms 0.016 686 49 constraint 0.014 609 50 self-efficacy 0.013 556 51 imagination 0.013 535 52 generalizing 0.012 490 53 comply_effect 0.011 454 54 internalization 0.010 442 55 arousal 0.009 403 56 circumstances 0.009 379 57 coding 0.006 267 58 a_memory 0.005 234 59 symbolic_modeling 0.005 199 60 emotional_intelligence 0.005 194 61 social_circumstance 0.003 138 62 forethought_capability 0.003 132 63 prospect 0.003 122 64 conscientiousness 0.003 107 65 empowerment 0.002 99 66 neuroticism 0.002 99 67 agreeableness 0.002 92 68 extraversion 0.002 72 69 disposition 0.001 54 70 social_identity 0.001 54 71 subjective_norms 0.001 54 72 extrinsic_motivation 0.001 48 73 intrinsic_motivation 9.628e-04 41 74 perceived_behavioral_control 9.158e-04 39 75 cognitive_process 6.105e-04 26 76 personality_trait 5.401e-04 23 77 threat_appraisal 4.931e-04 21 78 introversion 4.696e-04 20 79 group_norms 4.227e-04 18 80 risk-taking_effect 3.757e-04 16 81 response_efficacy 2.818e-04 12 82 self-identity 2.583e-04 11 83 coping_appraisal 2.348e-04 10 84 amotivation 2.113e-04 9 85 descriptive_norm 2.113e-04 9 86 amplification 1.879e-04 8 87 injunctive_norm 1.879e-04 8 88 alertness 1.644e-04 7 89 descriptive_norms 1.644e-04 7 90 perceived_efficacy 1.409e-04 6 91 injunctive_norms 1.174e-04 5 92 adaptive_response 9.393e-05 4 93 _do 0 0 94 _hate1 0 0 95 _hate2 0 0 96 _suicide1 0 0 97 _suicide2 0 0 98 active 0 0 99 adaptive 0 0 100 awareness 0 0
Value statistics Min: 0 Mean: 0.026 Lower quartile: 2.700e-04 Max: 0.216 Std.dev: 0.038 Median: 0.010 Upper quartile: 0.038
Unscaled value statistics Min: 0 Mean: 1,104.370 Lower quartile: 11.500 Max: 9,204 Std.dev: 1,598.477 Median: 422.500 Upper quartile: 1,600.500 Centrality, PageRank
Calculates the importance of a node based on the importance of its in-coming neighbors. The input network links are normalized and interpreted as the probability of a transition from node i to node j. The PageRank of a node can be interpreted as the fraction of times a node would be visitied when traversing the network according to the network of probabilities.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Behavioral x Behavioral]
Rank Behavioral Value 1 personality 0.076 2 perceived_vulnerability 0.048 3 perception 0.047 4 belief 0.044 5 combining 0.038 6 protection_effect 0.036 7 intrinsic_rewards 0.035 8 focus 0.034 9 extrinsic_rewards 0.031 10 possibility_effect 0.028 11 behavior 0.027 12 intelligence 0.026 13 appraisal 0.025 14 physical_quality 0.024 15 participant_modeling 0.024 16 syllogistic_rules 0.023 17 process 0.022 18 knowledge 0.021 19 perceived_responsibility 0.020 20 segregating 0.016 21 activity 0.016 22 certainty_effect 0.016 23 isolation_effect 0.015 24 fear_arousal 0.015 25 behavior_control-ability 0.014 26 mental_calculation 0.014 27 perceived_consensus 0.014 28 action 0.013 29 perceived_uniqueness 0.013 30 learning 0.012 31 persistence 0.012 32 experiential_awareness 0.012 33 experience 0.011 34 evaluating 0.011 35 impulsive_effect 0.010 36 intentionality 0.010 37 frustration_of_needs 0.010 38 collection 0.008 39 satisfaction_of_needs 0.008 40 mastery_experience 0.008 41 function 0.007 42 modeling 0.007 43 live_modeling 0.007 44 history 0.006 45 situational_circumstance 0.006 46 vicarious_experience 0.006 47 motivation 0.006 48 norms 0.006 49 constraint 0.005 50 self-efficacy 0.005 51 imagination 0.005 52 generalizing 0.004 53 comply_effect 0.004 54 internalization 0.004 55 arousal 0.003 56 circumstances 0.003 57 coding 0.002 58 a_memory 0.002 59 symbolic_modeling 0.002 60 emotional_intelligence 0.002 61 social_circumstance 0.001 62 forethought_capability 0.001 63 prospect 0.001 64 conscientiousness 0.001 65 neuroticism 0.001 66 agreeableness 9.792e-04 67 empowerment 9.555e-04 68 extraversion 7.940e-04 69 subjective_norms 6.445e-04 70 social_identity 6.126e-04 71 disposition 5.881e-04 72 extrinsic_motivation 5.501e-04 73 intrinsic_motivation 4.895e-04 74 perceived_behavioral_control 4.756e-04 75 threat_appraisal 4.137e-04 76 cognitive_process 3.575e-04 77 personality_trait 3.325e-04 78 introversion 3.084e-04 79 group_norms 3.008e-04 80 injunctive_norm 2.769e-04 81 risk-taking_effect 2.754e-04 82 descriptive_norm 2.550e-04 83 response_efficacy 2.431e-04 84 coping_appraisal 2.376e-04 85 self-identity 2.341e-04 86 injunctive_norms 2.257e-04 87 amotivation 2.180e-04 88 amplification 2.103e-04 89 descriptive_norms 2.020e-04 90 alertness 2.015e-04 91 perceived_efficacy 1.938e-04 92 adaptive_response 1.770e-04 93 _do 1.440e-04 94 _hate1 1.440e-04 95 _hate2 1.440e-04 96 _suicide1 1.440e-04 97 _suicide2 1.440e-04 98 active 1.440e-04 99 adaptive 1.440e-04 100 awareness 1.440e-04
Unscaled value statistics Min: 1.440e-04 Mean: 0.009 Lower quartile: 2.652e-04 Max: 0.076 Std.dev: 0.013 Median: 0.004 Upper quartile: 0.013 Centrality, Radiality
The Radiality Centrality of a node is the normalized sum of its closeness to all other nodes. The closeness of a node u to another node v is the network diameter minus the shortest path distance from u to v.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Behavioral x Behavioral]
Rank Behavioral Value Unscaled 1 emotional_intelligence 0.850 3,911,366 2 subjective_norms 0.850 3,911,366 3 agreeableness 0.850 3,911,365 4 behavior_control-ability 0.850 3,911,363 5 conscientiousness 0.850 3,911,363 6 disposition 0.850 3,911,362 7 forethought_capability 0.850 3,911,356 8 appraisal 0.850 3,911,355 9 extraversion 0.850 3,911,353 10 motivation 0.850 3,911,352 11 symbolic_modeling 0.850 3,911,351 12 internalization 0.850 3,911,350 13 mental_calculation 0.850 3,911,348 14 circumstances 0.850 3,911,346 15 behavior 0.850 3,911,345 16 extrinsic_motivation 0.850 3,911,345 17 intrinsic_motivation 0.850 3,911,345 18 syllogistic_rules 0.850 3,911,345 19 belief 0.850 3,911,344 20 frustration_of_needs 0.850 3,911,344 21 norms 0.850 3,911,344 22 persistence 0.850 3,911,344 23 social_circumstance 0.850 3,911,344 24 neuroticism 0.850 3,911,343 25 self-efficacy 0.850 3,911,343 26 fear_arousal 0.850 3,911,342 27 certainty_effect 0.850 3,911,341 28 focus 0.850 3,911,341 29 situational_circumstance 0.850 3,911,341 30 action 0.850 3,911,340 31 generalizing 0.850 3,911,340 32 intrinsic_rewards 0.850 3,911,340 33 empowerment 0.850 3,911,339 34 impulsive_effect 0.850 3,911,339 35 prospect 0.850 3,911,339 36 satisfaction_of_needs 0.850 3,911,339 37 threat_appraisal 0.850 3,911,338 38 function 0.850 3,911,336 39 comply_effect 0.850 3,911,335 40 a_memory 0.850 3,911,334 41 coding 0.850 3,911,334 42 perceived_uniqueness 0.850 3,911,334 43 segregating 0.850 3,911,334 44 cognitive_process 0.850 3,911,333 45 process 0.850 3,911,333 46 activity 0.850 3,911,331 47 perceived_behavioral_control 0.850 3,911,331 48 perceived_responsibility 0.850 3,911,330 49 coping_appraisal 0.850 3,911,329 50 descriptive_norms 0.850 3,911,329 51 intelligence 0.850 3,911,329 52 descriptive_norm 0.850 3,911,328 53 live_modeling 0.850 3,911,328 54 mastery_experience 0.850 3,911,327 55 participant_modeling 0.850 3,911,327 56 combining 0.850 3,911,326 57 experiential_awareness 0.850 3,911,326 58 introversion 0.850 3,911,326 59 amplification 0.850 3,911,325 60 injunctive_norm 0.850 3,911,325 61 protection_effect 0.850 3,911,325 62 arousal 0.850 3,911,323 63 social_identity 0.850 3,911,322 64 perceived_consensus 0.850 3,911,321 65 amotivation 0.850 3,911,320 66 constraint 0.850 3,911,320 67 experience 0.850 3,911,320 68 group_norms 0.850 3,911,320 69 risk-taking_effect 0.850 3,911,320 70 extrinsic_rewards 0.850 3,911,317 71 alertness 0.850 3,911,316 72 personality_trait 0.850 3,911,316 73 isolation_effect 0.850 3,911,315 74 perception 0.850 3,911,315 75 collection 0.850 3,911,313 76 intentionality 0.850 3,911,312 77 injunctive_norms 0.850 3,911,307 78 personality 0.850 3,911,307 79 possibility_effect 0.850 3,911,305 80 vicarious_experience 0.850 3,911,303 81 response_efficacy 0.850 3,911,302 82 perceived_vulnerability 0.850 3,911,301 83 evaluating 0.850 3,911,300 84 physical_quality 0.850 3,911,299 85 knowledge 0.850 3,911,297 86 self-identity 0.850 3,911,297 87 history 0.850 3,911,292 88 perceived_efficacy 0.850 3,911,292 89 imagination 0.850 3,911,291 90 learning 0.850 3,911,290 91 adaptive_response 0.850 3,911,284 92 modeling 0.850 3,911,281 93 _do 0 0 94 _hate1 0 0 95 _hate2 0 0 96 _suicide1 0 0 97 _suicide2 0 0 98 active 0 0 99 adaptive 0 0 100 awareness 0 0
Value statistics Min: 0 Mean: 0.724 Lower quartile: 0.850 Max: 0.850 Std.dev: 0.302 Median: 0.850 Upper quartile: 0.850
Unscaled value statistics Min: 0 Mean: 3,331,873.093 Lower quartile: 3,911,301.500 Max: 3,911,366 Std.dev: 1,389,487.131 Median: 3,911,327 Upper quartile: 3,911,341 Centrality, Total-Degree
The Total-Degree Centrality of a node is the normalized sum of its In-Degree and Out-Degree.
If the node of interest has a higher than normal value (greater than 1 standard deviation(s) above the mean) the row is colored red. The row is green if the node is within 1 standard deviation of the mean. Finally, the row is colored blue if the node has a lower than normal value (less than one standard deviation(s) below the mean).
Input network(s): Semantic Network [Behavioral x Behavioral]
Rank Behavioral Value Unscaled 1 personality 0.216 9,204 2 perceived_vulnerability 0.136 5,799 3 perception 0.134 5,707 4 belief 0.125 5,311 5 combining 0.108 4,607 6 protection_effect 0.101 4,302 7 intrinsic_rewards 0.101 4,280 8 focus 0.097 4,131 9 extrinsic_rewards 0.088 3,764 10 possibility_effect 0.080 3,413 11 behavior 0.076 3,240 12 intelligence 0.073 3,126 13 appraisal 0.071 3,025 14 physical_quality 0.068 2,907 15 participant_modeling 0.067 2,858 16 syllogistic_rules 0.064 2,720 17 process 0.063 2,669 18 knowledge 0.061 2,588 19 perceived_responsibility 0.057 2,422 20 segregating 0.046 1,965 21 activity 0.045 1,907 22 certainty_effect 0.045 1,904 23 isolation_effect 0.043 1,850 24 fear_arousal 0.041 1,758 25 behavior_control-ability 0.039 1,660 26 mental_calculation 0.039 1,644 27 perceived_consensus 0.038 1,634 28 action 0.037 1,567 29 perceived_uniqueness 0.036 1,513 30 learning 0.035 1,498 31 persistence 0.035 1,489 32 experiential_awareness 0.034 1,446 33 experience 0.030 1,283 34 evaluating 0.030 1,262 35 impulsive_effect 0.029 1,245 36 intentionality 0.029 1,220 37 frustration_of_needs 0.028 1,177 38 collection 0.024 1,005 39 satisfaction_of_needs 0.022 936 40 mastery_experience 0.021 911 41 function 0.021 885 42 modeling 0.020 868 43 live_modeling 0.018 787 44 history 0.018 773 45 situational_circumstance 0.018 763 46 vicarious_experience 0.017 723 47 motivation 0.017 707 48 norms 0.016 686 49 constraint 0.014 609 50 self-efficacy 0.013 556 51 imagination 0.013 535 52 generalizing 0.012 490 53 comply_effect 0.011 454 54 internalization 0.010 442 55 arousal 0.009 403 56 circumstances 0.009 379 57 coding 0.006 267 58 a_memory 0.005 234 59 symbolic_modeling 0.005 199 60 emotional_intelligence 0.005 194 61 social_circumstance 0.003 138 62 forethought_capability 0.003 132 63 prospect 0.003 122 64 conscientiousness 0.003 107 65 empowerment 0.002 99 66 neuroticism 0.002 99 67 agreeableness 0.002 92 68 extraversion 0.002 72 69 disposition 0.001 54 70 social_identity 0.001 54 71 subjective_norms 0.001 54 72 extrinsic_motivation 0.001 48 73 intrinsic_motivation 9.628e-04 41 74 perceived_behavioral_control 9.158e-04 39 75 cognitive_process 6.105e-04 26 76 personality_trait 5.401e-04 23 77 threat_appraisal 4.931e-04 21 78 introversion 4.696e-04 20 79 group_norms 4.227e-04 18 80 risk-taking_effect 3.757e-04 16 81 response_efficacy 2.818e-04 12 82 self-identity 2.583e-04 11 83 coping_appraisal 2.348e-04 10 84 amotivation 2.113e-04 9 85 descriptive_norm 2.113e-04 9 86 amplification 1.879e-04 8 87 injunctive_norm 1.879e-04 8 88 alertness 1.644e-04 7 89 descriptive_norms 1.644e-04 7 90 perceived_efficacy 1.409e-04 6 91 injunctive_norms 1.174e-04 5 92 adaptive_response 9.393e-05 4 93 _do 0 0 94 _hate1 0 0 95 _hate2 0 0 96 _suicide1 0 0 97 _suicide2 0 0 98 active 0 0 99 adaptive 0 0 100 awareness 0 0
Value statistics Min: 0 Mean: 0.026 Lower quartile: 2.700e-04 Max: 0.216 Std.dev: 0.038 Median: 0.010 Upper quartile: 0.038
Unscaled value statistics Min: 0 Mean: 1,104.370 Lower quartile: 11.500 Max: 9,204 Std.dev: 1,598.477 Median: 422.500 Upper quartile: 1,600.500


Swizzle Cup
Donn Beach was the father of the Tiki bar and the Tiki drink, both of which debuted in 1934 at Don The Beachcomber’s in Hollywood. Almost all of his wildly popular faux-Polynesian “Rum Rhapsodies” had Caribbean roots, such as his 151 Swizzle, which used an electric blender to mimic the centuries-old West Indian technique of churning drinks with a spoked twig whittled into a “swizzle stick.” Ernest served his swizzles in a specially made metal Swizzle Cup -- a sleeker, sexier version of the traditional silver Mint Julep Cup.
Just as they copied the Beachcomber’s drinks, rival Tiki restaurateurs copied his signature serve. By the 1950s metal Swizzle Cups frothed with exotic cocktails from coast to coast. Expensive to make -- and to replace when customers ran off with them -- these cups disappeared from Tiki bars by the 1980s, replaced by standard Collins glasses.
Now Cocktail Kingdom has brought back the long-lost Swizzle Cup of Tiki’s past, with this updated version of Don The Beachcomber’s bespoke vessel: even sleeker and sexier, made of light-weight stainless steel.
You can use your Swizzle Cup for any julep, cobbler, swizzle or other long drink, but the Beachcomber filled it with his 151 Swizzle. To make one: Into an electric blender put 1/2 ounce each fresh lime juice and sugar syrup; 1 1/2 ounces 151-proof Hamilton Demerara rum; a dash of Angostura bitters, 6 drops Pernod or Herbsaint, and 8 ounces (1 cup) crushed ice. Flash-blend at high speed for no more than 5 seconds. Pour unstrained into Swizzle Cup, adding more crushed ice to fill. Dust with nutmeg. Garnish with cinnamon stick.
BUY NOW (USA — Cocktail Kingdom)BUY NOW (UK — Cocktail Kingdom)


Assumptions are organized using a hierarchy with a Project at the top of the hierarchy.
Projects contain scenarios, scenario contains cases and each case has one Project state.
The relationship between case and state is implemented using linking table. This was originally implemented to allow for multiple so called "output states" to be linked to a case as well as a single input state. Output states were supposed to hold selected model run results and AMS should have allowed for a comparison of model inputs and outputs. Project entity references a customer. This information is used for reporting in Runs Controller. Case (Model Case) entity can be associated with multiple Labels. Case labels are used in AMS for filtering and they also defined data retention policy used for case model outputs.
The State entity represents a collection of objects with values that are used as a model input.
Objects and their values in a state are organized using a type system.
Object type has a list of object type properties.
Each object type property references a property (supply chain property).
Supply chain property represents a well-known term that is re-used for multiple object types – for example "Net rate" is a well-known term used for all object types describing types of equipment.
Some properties may only have values from a defined set - enumeration. These are called options.
Object type property defines which properties can be used for particular object type, what is the unit of measure (if any) and what is the data type of its values. Of object type property represents an array (of objects), it also references array type – there are two array types – homogeneous and heterogeneous.
AMS data model also supports object type inheritance – one object type can be used as a "parent" of another object type.
Derived object types then "inherit" object type properties of their parent.
Objects are instances of Object Types and Values are instances of Object type properties:
For example Car Dumper 1 and Car Dumper 2 (objects) are instances of object type car dumper.
Net rate of Car dumper 1 (value) is an instance of Car dumper net rate (object type property).
As you can see in the diagram above, there is another entity sitting in between object type property and value – object property.
The original intention was to have this property representing now-abandoned concept of "contexts". Originally, objects could reference each object type property multiple times – each time in different context. Each of these references was represented with one object property record. I the current solution these contexts were replaced by having multiple object type properties.
Types of values:
The existence of object link and array values enables for values to be organized into deep hierarchies.
Following diagram displays main entities of the Runs Controller data model:
Package information entity (package) represents a unit of execution.
Packages are grouped into submissions.
Submission must reference a project.
You can see that this basic hierarchy really duplicates part of AMS data model. That's because Runs Controller existed before AMS and was designed to provide basic grouping for model executions (packages). AMS design adopted this structure.
Package History records changes in the packages status - when the package was created, when the execution started, when it was cancelled and re-started.
Case was added after AMS was created with the intention to provide easier connection between AMS and Runs Controller data but it was never used.
Activity Report table contains reports generated by running package. It usually contains standard output from the package executable.
Activity Result table records package execution results. It is important to note that single package can have multiple results - this happens if package is re-starter.
Node record represent a execution server (runs controller client instance). Nodes are loosely (no foreign key) referenced by package results.


lib\Crypt\AES.php
- author
- Jim Wigginton<EMAIL_ADDRESS>- copyright
- MMVIII Jim Wigginton
- license
- http://www.opensource.org/licenses/mit-license.html MIT License
- link
- http://phpseclib.sourceforge.net
- package
- Crypt
- subpackage
- Crypt_AES
- version
- $Id: AES.php,v 1.7 2010/02/09 06:10:25 terrafrost Exp $
- Constants
- CRYPT_AES_MODE_CTR
- CRYPT_AES_MODE_ECB
- CRYPT_AES_MODE_CBC
- CRYPT_AES_MODE_CFB
- CRYPT_AES_MODE_OFB
- CRYPT_AES_MODE_INTERNAL
- CRYPT_AES_MODE_MCRYPT
- Classes
- Crypt_AES
Description
Pure-PHP implementation of AES.
Uses mcrypt, if available, and an internal implementation, otherwise.
PHP versions 4 and 5
If {@link Crypt_AES::setKeyLength() setKeyLength()} isn't called, it'll be calculated from {@link Crypt_AES::setKey() setKey()}. ie. if the key is 128-bits, the key length will be 128-bits. If it's 136-bits it'll be null-padded to 160-bits and 160 bits will be the key length until {@link Crypt_Rijndael::setKey() setKey()} is called, again, at which point, it'll be recalculated.
Since Crypt_AES extends Crypt_Rijndael, some functions are available to be called that, in the context of AES, don't make a whole lot of sense. {@link Crypt_AES::setBlockLength() setBlockLength()}, for instance. Calling that function, however possible, won't do anything (AES has a fixed block length whereas Rijndael has a variable one).
Here's a short example of how to use this library:
setKey('abcdefghijklmnop');
$size = 10 * 1024;
$plaintext = '';
for ($i = 0; $i < $size; $i++) {
$plaintext.= 'a';
}
echo $aes->decrypt($aes->encrypt($plaintext));
?>
LICENSE: Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Constants
CRYPT_AES_MODE_CTR
CRYPT_AES_MODE_CTR = '-1'
Encrypt / decrypt using the Counter mode.
Set to -1 since that's what Crypt/Random.php uses to index the CTR mode.
Details
CRYPT_AES_MODE_ECB
CRYPT_AES_MODE_ECB = '1'
Encrypt / decrypt using the Electronic Code Book mode.
CRYPT_AES_MODE_CBC
CRYPT_AES_MODE_CBC = '2'
Encrypt / decrypt using the Code Book Chaining mode.
CRYPT_AES_MODE_CFB
CRYPT_AES_MODE_CFB = '3'
Encrypt / decrypt using the Cipher Feedback mode.
CRYPT_AES_MODE_OFB
CRYPT_AES_MODE_OFB = '4'
Encrypt / decrypt using the Cipher Feedback mode.
CRYPT_AES_MODE_INTERNAL
CRYPT_AES_MODE_INTERNAL = '1'
Toggles the internal implementation
Details
- value
- 1
CRYPT_AES_MODE_MCRYPT
CRYPT_AES_MODE_MCRYPT = '2'
Toggles the mcrypt implementation
Details
- value
- 2
\Crypt_AES
- Extends from
- \Crypt_Rijndael
- access
- public
- author
- Jim Wigginton<EMAIL_ADDRESS>- package
- Crypt
- subpackage
- Crypt_AES
- version
- 0.1.0
- Properties
- $demcrypt
- $ecb
- $enmcrypt
- Methods
- Crypt_AES
- _decryptBlock
- _encryptBlock
- _mcryptSetup
- decrypt
- encrypt
- setBlockLength
- setIV
Description
Pure-PHP implementation of AES.
Properties
$demcrypt
String $demcrypt = ''
mcrypt resource for decryption
The mcrypt resource can be recreated every time something needs to be created or it can be created just once. Since mcrypt operates in continuous mode, by default, it'll need to be recreated when in non-continuous mode.
Details
- String
- visibility
- public
- default
- final
- false
- static
- false
- access
- private
- see
- Crypt_AES::decrypt()
$ecb
String $ecb = ''
mcrypt resource for CFB mode
Details
- String
- visibility
- public
- default
- final
- false
- static
- false
- access
- private
- see
- Crypt_AES::encrypt()
- see
- Crypt_AES::decrypt()
$enmcrypt
String $enmcrypt = ''
mcrypt resource for encryption
The mcrypt resource can be recreated every time something needs to be created or it can be created just once. Since mcrypt operates in continuous mode, by default, it'll need to be recreated when in non-continuous mode.
Details
- String
- visibility
- public
- default
- final
- false
- static
- false
- access
- private
- see
- Crypt_AES::encrypt()
Methods
Crypt_AES
Crypt_AES(
\optional $mode
=
CRYPT_AES_MODE_CBC
)
:
\Crypt_AES
Default Constructor.
Determines whether or not the mcrypt extension should be used. $mode should only, at present, be CRYPT_AES_MODE_ECB or CRYPT_AES_MODE_CBC. If not explictly set, CRYPT_AES_MODE_CBC will be used.
Arguments
- $mode
- \optional
Integer $mode
Output
Details
- visibility
- public
- final
- false
- static
- false
- access
- public
_decryptBlock
_decryptBlock(
String $in
)
:
String
Decrypts a block
Optimized over Crypt_Rijndael's implementation by means of loop unrolling.
Arguments
- $in
- String
Output
- String
Details
- visibility
- public
- final
- false
- static
- false
- access
- private
- see
- Crypt_Rijndael::_decryptBlock()
_encryptBlock
_encryptBlock(
String $in
)
:
String
Encrypts a block
Optimized over Crypt_Rijndael's implementation by means of loop unrolling.
Arguments
- $in
- String
Output
- String
Details
- visibility
- public
- final
- false
- static
- false
- access
- private
- see
- Crypt_Rijndael::_encryptBlock()
_mcryptSetup
_mcryptSetup(
)
:
Setup mcrypt
Validates all the variables.
Details
- visibility
- public
- final
- false
- static
- false
- access
- private
decrypt
decrypt(
String $ciphertext
)
:
Decrypts a message.
If strlen($ciphertext) is not a multiple of 16, null bytes will be added to the end of the string until it is.
Arguments
- $ciphertext
- String
Details
- visibility
- public
- final
- false
- static
- false
- access
- public
- see
- Crypt_AES::encrypt()
encrypt
encrypt(
String $plaintext
)
:
Encrypts a message.
$plaintext will be padded with up to 16 additional bytes. Other AES implementations may or may not pad in the same manner. Other common approaches to padding and the reasons why it's necessary are discussed in the following URL:
{@link http://www.di-mgt.com.au/cryptopad.html http://www.di-mgt.com.au/cryptopad.html}
An alternative to padding is to, separately, send the length of the file. This is what SSH, in fact, does. strlen($plaintext) will still need to be a multiple of 16, however, arbitrary values can be added to make it that length.
Arguments
- $plaintext
- String
Details
- visibility
- public
- final
- false
- static
- false
- access
- public
- see
- Crypt_AES::decrypt()
setBlockLength
setBlockLength(
Integer $length
)
:
Dummy function
Since Crypt_AES extends Crypt_Rijndael, this function is, technically, available, but it doesn't do anything.
Arguments
- $length
- Integer
Details
- visibility
- public
- final
- false
- static
- false
- access
- public
setIV
setIV(
String $iv
)
:
Sets the initialization vector. (optional)
SetIV is not required when CRYPT_RIJNDAEL_MODE_ECB is being used. If not explictly set, it'll be assumed to be all zero's.
Arguments
- $iv
- String
Details
- visibility
- public
- final
- false
- static
- false
- access
- public


‘Functional WebApps’ is a premier CodeChef-VIT
workshop which takes you on an in depth journey on how to become a web-developer and
build your own websites easily from scratch. Learn from industry experts and get to know
about their journey into the world of Web Development. The workshop is broken down
into two components: Client-Side Web-Development(Frontend) and Server-Side Web-
Development(Backend). Enroll and learn how you can build WebApps from scratch and
exactly how they work.
Arunkumar Srisailapathi
Frontend Engineer II
Prime Video, Amazon
“Striving to improve web to make it accessible for everyone”. A passionate engineer who loves to solve complex problems in relatively simpler ways. I work with complex one-of-a-kind problems every day at work making it more interesting and challenging. In general I feel, “Web is relatively simpler when you are getting started but it becomes amazingly complex / challenging when you know what you are actually doing”
Jaivardhan Kumar
Senior Software Engineer
Red Hat
I am Open Source Software Enthusiast, working with Red Hat Developer Engineering group as Senior Software Engineer. I contribute to projects likeOpenShift.io, fabric8-analytics and technologies which revolves around IDEs, user interfaces/web.


Money Game. How should Red play 52?
pips Red=188 White=154
(CorrectAnswer= 0/0, ErrorScore= 0)
Positions like this are very difficult because there are so many possible game plans.
I tried for the advanced anchor with bar/20, 23/21. This gets flagged as a minor error with XG preferring bar/20, 24/22 if you are going to take that approach. Of the high anchor plays bar/18 comes first.
Overall XG prefers bar/23, 8/3* making the guaranteed second anchor and taking a tempo from White. The difference between this and bar/18 is only 0.012. I don’t like giving up the 8-pt in a position where I have so few assets and so I would still vote for one of the high anchor plays even if bar/23, 8/3* is technically correct.
Food for thought - and a much longer rollout.
I tried for the advanced anchor with bar/20, 23/21. This gets flagged as a minor error with XG preferring bar/20, 24/22 if you are going to take that approach. Of the high anchor plays bar/18 comes first.
Overall XG prefers bar/23, 8/3* making the guaranteed second anchor and taking a tempo from White. The difference between this and bar/18 is only 0.012. I don’t like giving up the 8-pt in a position where I have so few assets and so I would still vote for one of the high anchor plays even if bar/23, 8/3* is technically correct.
Food for thought - and a much longer rollout.
1. Cubeful 2-ply bar/23 8/3* Eq.: -0.486 0.395 0.101 0.004 - 0.605 0.227 0.027 2. Cubeful 2-ply bar/20 6/4 Eq.: -0.522 (-0.036) 0.397 0.094 0.004 - 0.603 0.243 0.031 3. Cubeful 2-ply bar/18 Eq.: -0.522 (-0.036) 0.391 0.090 0.004 - 0.609 0.233 0.025 4. Cubeful 2-ply bar/20 7/5 Eq.: -0.542 (-0.056) 0.389 0.092 0.004 - 0.611 0.233 0.027 5. Cubeful 2-ply bar/20 24/22 Eq.: -0.542 (-0.057) 0.383 0.091 0.004 - 0.617 0.235 0.023


EBD - Easton Bible DIctionary
Flood
FLOOD
"FLOOD "an event recorded in
Genesis 7
and 8. (See DELUGE.) In
Joshua 24:2, 3, 14, 15
, the word “flood” (R.V., “river”) means the river Euphrates.
In
Psalm 66:6
, this word refers to the river Jordan.
"FLOOD "an event recorded in Genesis 7 and 8. (See DELUGE.) In Joshua 24:2, 3, 14, 15, the word “flood” (R.V., “river”) means the river Euphrates.
In Psalm 66:6, this word refers to the river Jordan.