Social Network Analysis for ACTOR#1 |
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Graph Level Measure | Value |
---|---|
Clustering Coefficient, Watts-Strogatz | 0.6922 |
Component Count | 1.0000 |
Connectedness, Krackhardt | 1.0000 |
Count, Edge | 277.0000 |
Count, Column | 21.0000 |
Count, Row | 21.0000 |
Density | 0.6595 |
Efficiency, Krackhardt | 0.1789 |
Hierarchy, Krackhardt | 0.0000 |
Isolate Count | 0.0000 |
Reciprocity | 0.5739 |
Upperboundedness, Krackhardt | 1.0000 |
Node Level Measure | Min | Max | Average | Stddev |
---|---|---|---|---|
Centrality, Betweenness | 0.0022 | 0.0704 | 0.0179 | 0.0155 |
Centrality, Eigenvector | 0.0334 | 0.0552 | 0.0476 | 0.0068 |
Centrality, Information | 0.0327 | 0.0571 | 0.0476 | 0.0075 |
[unscaled] | 4.5959 | 8.0284 | 6.6896 | 1.0473 |
Centrality, Total Degree | 0.4500 | 0.9250 | 0.6595 | 0.1201 |
[unscaled] | 18.0000 | 37.0000 | 26.3810 | 4.8055 |
Clique Count | 3.0000 | 16.0000 | 8.0000 | 3.9881 |
Clustering Coefficient, Watts-Strogatz | 0.6316 | 0.7458 | 0.6922 | 0.0332 |
Simmelian Ties | 0.1500 | 0.8500 | 0.4762 | 0.1586 |
[unscaled] | 3.0000 | 17.0000 | 9.5238 | 3.1716 |
Measures for Largest Component |
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Graph Level Measure | Value |
---|---|
Characteristic Path Length | 1.3405 |
Clustering Coefficient, Watts-Strogatz | 0.6922 |
Node Level Measure | Min | Max | Average | Stddev |
---|---|---|---|---|
Centrality, Eigenvector | 0.0334 | 0.0552 | 0.0476 | 0.0068 |
Clustering Coefficient, Watts-Strogatz | 0.6316 | 0.7458 | 0.6922 | 0.0332 |