Social Network Analysis for ACTOR#4 |
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Graph Level Measure | Value |
---|---|
Clustering Coefficient, Watts-Strogatz | 0.5836 |
Component Count | 1.0000 |
Connectedness, Krackhardt | 1.0000 |
Count, Edge | 199.0000 |
Count, Column | 21.0000 |
Count, Row | 21.0000 |
Density | 0.4738 |
Efficiency, Krackhardt | 0.4316 |
Hierarchy, Krackhardt | 0.0000 |
Isolate Count | 0.0000 |
Reciprocity | 0.5547 |
Upperboundedness, Krackhardt | 1.0000 |
Node Level Measure | Min | Max | Average | Stddev |
---|---|---|---|---|
Centrality, Betweenness | 0.0006 | 0.1263 | 0.0299 | 0.0350 |
Centrality, Eigenvector | 0.0249 | 0.0704 | 0.0476 | 0.0106 |
Centrality, Information | 0.0261 | 0.0635 | 0.0476 | 0.0083 |
[unscaled] | 2.4963 | 6.0696 | 4.5520 | 0.7953 |
Centrality, Total Degree | 0.2000 | 0.8500 | 0.4738 | 0.1495 |
[unscaled] | 8.0000 | 34.0000 | 18.9524 | 5.9799 |
Clique Count | 3.0000 | 31.0000 | 10.6667 | 7.3441 |
Clustering Coefficient, Watts-Strogatz | 0.4286 | 0.8393 | 0.5836 | 0.0963 |
Simmelian Ties | 0.0000 | 0.7500 | 0.3238 | 0.1810 |
[unscaled] | 0.0000 | 15.0000 | 6.4762 | 3.6203 |
Measures for Largest Component |
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Graph Level Measure | Value |
---|---|
Characteristic Path Length | 1.5690 |
Clustering Coefficient, Watts-Strogatz | 0.5836 |
Node Level Measure | Min | Max | Average | Stddev |
---|---|---|---|---|
Centrality, Eigenvector | 0.0249 | 0.0704 | 0.0476 | 0.0106 |
Clustering Coefficient, Watts-Strogatz | 0.4286 | 0.8393 | 0.5836 | 0.0963 |