Social Network Analysis for ACTOR#16 |
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Graph Level Measure | Value |
---|---|
Clustering Coefficient, Watts-Strogatz | 0.4216 |
Component Count | 1.0000 |
Connectedness, Krackhardt | 1.0000 |
Count, Edge | 49.0000 |
Count, Column | 21.0000 |
Count, Row | 21.0000 |
Density | 0.1167 |
Efficiency, Krackhardt | 0.8579 |
Hierarchy, Krackhardt | 0.9759 |
Isolate Count | 0.0000 |
Reciprocity | 0.0426 |
Upperboundedness, Krackhardt | 0.3474 |
Node Level Measure | Min | Max | Average | Stddev |
---|---|---|---|---|
Centrality, Betweenness | 0.0000 | 0.0294 | 0.0046 | 0.0086 |
Centrality, Eigenvector | 0.0202 | 0.0906 | 0.0476 | 0.0230 |
Centrality, Information | 0.0293 | 0.0598 | 0.0476 | 0.0081 |
[unscaled] | 0.7274 | 1.4874 | 1.1835 | 0.2002 |
Centrality, Total Degree | 0.0500 | 0.2750 | 0.1167 | 0.0765 |
[unscaled] | 2.0000 | 11.0000 | 4.6667 | 3.0602 |
Clique Count | 1.0000 | 8.0000 | 2.7143 | 2.4523 |
Clustering Coefficient, Watts-Strogatz | 0.1111 | 1.0000 | 0.4216 | 0.2437 |
Simmelian Ties | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
[unscaled] | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
Measures for Largest Component |
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Graph Level Measure | Value |
---|---|
Characteristic Path Length | 1.4353 |
Clustering Coefficient, Watts-Strogatz | 0.4216 |
Node Level Measure | Min | Max | Average | Stddev |
---|---|---|---|---|
Centrality, Eigenvector | 0.0202 | 0.0906 | 0.0476 | 0.0230 |
Clustering Coefficient, Watts-Strogatz | 0.1111 | 1.0000 | 0.4216 | 0.2437 |