Social Network Analysis for ACTOR#8 |
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Graph Level Measure | Value |
---|---|
Clustering Coefficient, Watts-Strogatz | 0.4656 |
Component Count | 1.0000 |
Connectedness, Krackhardt | 1.0000 |
Count, Edge | 134.0000 |
Count, Column | 21.0000 |
Count, Row | 21.0000 |
Density | 0.3190 |
Efficiency, Krackhardt | 0.5526 |
Hierarchy, Krackhardt | 0.2609 |
Isolate Count | 0.0000 |
Reciprocity | 0.2762 |
Upperboundedness, Krackhardt | 0.9842 |
Node Level Measure | Min | Max | Average | Stddev |
---|---|---|---|---|
Centrality, Betweenness | 0.0000 | 0.2231 | 0.0436 | 0.0502 |
Centrality, Eigenvector | 0.0189 | 0.0827 | 0.0476 | 0.0156 |
Centrality, Information | 0.0363 | 0.0587 | 0.0476 | 0.0066 |
[unscaled] | 2.4241 | 3.9258 | 3.1820 | 0.4415 |
Centrality, Total Degree | 0.1250 | 0.5750 | 0.3190 | 0.1225 |
[unscaled] | 5.0000 | 23.0000 | 12.7619 | 4.8981 |
Clique Count | 2.0000 | 29.0000 | 7.9048 | 6.2633 |
Clustering Coefficient, Watts-Strogatz | 0.2921 | 0.7000 | 0.4656 | 0.1012 |
Simmelian Ties | 0.0000 | 0.4000 | 0.0857 | 0.1071 |
[unscaled] | 0.0000 | 8.0000 | 1.7143 | 2.1413 |
Measures for Largest Component |
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Graph Level Measure | Value |
---|---|
Characteristic Path Length | 1.9667 |
Clustering Coefficient, Watts-Strogatz | 0.4656 |
Node Level Measure | Min | Max | Average | Stddev |
---|---|---|---|---|
Centrality, Eigenvector | 0.0189 | 0.0827 | 0.0476 | 0.0156 |
Clustering Coefficient, Watts-Strogatz | 0.2921 | 0.7000 | 0.4656 | 0.1012 |