Social Network Analysis for ACTOR#13 |
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Graph Level Measure | Value |
---|---|
Clustering Coefficient, Watts-Strogatz | 0.2709 |
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 | 0.8632 |
Hierarchy, Krackhardt | 0.9196 |
Isolate Count | 0.0000 |
Reciprocity | 0.0652 |
Upperboundedness, Krackhardt | 0.5158 |
Node Level Measure | Min | Max | Average | Stddev |
---|---|---|---|---|
Centrality, Betweenness | 0.0000 | 0.0860 | 0.0124 | 0.0229 |
Centrality, Eigenvector | 0.0119 | 0.1015 | 0.0476 | 0.0227 |
Centrality, Information | 0.0303 | 0.0690 | 0.0476 | 0.0091 |
[unscaled] | 0.6880 | 1.5659 | 1.0803 | 0.2072 |
Centrality, Total Degree | 0.0250 | 0.3000 | 0.1167 | 0.0773 |
[unscaled] | 1.0000 | 12.0000 | 4.6667 | 3.0912 |
Clique Count | 0.0000 | 8.0000 | 2.1429 | 1.8332 |
Clustering Coefficient, Watts-Strogatz | 0.0000 | 0.6667 | 0.2709 | 0.2090 |
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 | 1.8182 |
Clustering Coefficient, Watts-Strogatz | 0.2709 |
Node Level Measure | Min | Max | Average | Stddev |
---|---|---|---|---|
Centrality, Eigenvector | 0.0119 | 0.1015 | 0.0476 | 0.0227 |
Clustering Coefficient, Watts-Strogatz | 0.0000 | 0.6667 | 0.2709 | 0.2090 |