Social Network Analysis for ACTOR#9 |
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Graph Level Measure | Value |
---|---|
Clustering Coefficient, Watts-Strogatz | 0.4991 |
Component Count | 1.0000 |
Connectedness, Krackhardt | 1.0000 |
Count, Edge | 154.0000 |
Count, Column | 21.0000 |
Count, Row | 21.0000 |
Density | 0.3667 |
Efficiency, Krackhardt | 0.5632 |
Hierarchy, Krackhardt | 0.0000 |
Isolate Count | 0.0000 |
Reciprocity | 0.4951 |
Upperboundedness, Krackhardt | 1.0000 |
Node Level Measure | Min | Max | Average | Stddev |
---|---|---|---|---|
Centrality, Betweenness | 0.0007 | 0.1865 | 0.0383 | 0.0489 |
Centrality, Eigenvector | 0.0203 | 0.0774 | 0.0476 | 0.0171 |
Centrality, Information | 0.0344 | 0.0630 | 0.0476 | 0.0085 |
[unscaled] | 2.4800 | 4.5438 | 3.4325 | 0.6140 |
Centrality, Total Degree | 0.1250 | 0.7500 | 0.3667 | 0.1458 |
[unscaled] | 5.0000 | 30.0000 | 14.6667 | 5.8337 |
Clique Count | 3.0000 | 21.0000 | 7.2857 | 5.1283 |
Clustering Coefficient, Watts-Strogatz | 0.3500 | 0.7143 | 0.4991 | 0.1045 |
Simmelian Ties | 0.0000 | 0.6000 | 0.1762 | 0.1630 |
[unscaled] | 0.0000 | 12.0000 | 3.5238 | 3.2604 |
Measures for Largest Component |
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Graph Level Measure | Value |
---|---|
Characteristic Path Length | 1.7286 |
Clustering Coefficient, Watts-Strogatz | 0.4991 |
Node Level Measure | Min | Max | Average | Stddev |
---|---|---|---|---|
Centrality, Eigenvector | 0.0203 | 0.0774 | 0.0476 | 0.0171 |
Clustering Coefficient, Watts-Strogatz | 0.3500 | 0.7143 | 0.4991 | 0.1045 |