Social Network Analysis for NEWC5 |
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Graph Level Measure | Value |
---|---|
Clustering Coefficient, Watts-Strogatz | 1.0000 |
Component Count | 1.0000 |
Connectedness, Krackhardt | 1.0000 |
Count, Edge | 136.0000 |
Count, Column | 17.0000 |
Count, Row | 17.0000 |
Density | 1.0000 |
Efficiency, Krackhardt | 0.0000 |
Hierarchy, Krackhardt | 0.0000 |
Isolate Count | 0.0000 |
Reciprocity | 1.0000 |
Upperboundedness, Krackhardt | 1.0000 |
Node Level Measure | Min | Max | Average | Stddev |
---|---|---|---|---|
Centrality, Betweenness | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
Centrality, Eigenvector | 0.0416 | 0.0770 | 0.0588 | 0.0096 |
Centrality, Information | 0.0506 | 0.0691 | 0.0588 | 0.0044 |
[unscaled] | 66.1123 | 90.2090 | 76.8101 | 5.7431 |
Centrality, Total Degree | 5.8438 | 11.6250 | 8.5000 | 1.4956 |
[unscaled] | 187.0000 | 372.0000 | 272.0000 | 47.8601 |
Clique Count | 1.0000 | 1.0000 | 1.0000 | 0.0000 |
Clustering Coefficient, Watts-Strogatz | 1.0000 | 1.0000 | 1.0000 | 0.0000 |
Simmelian Ties | 1.0000 | 1.0000 | 1.0000 | 0.0000 |
[unscaled] | 16.0000 | 16.0000 | 16.0000 | 0.0000 |
Measures for Largest Component |
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Graph Level Measure | Value |
---|---|
Characteristic Path Length | 1.0000 |
Clustering Coefficient, Watts-Strogatz | 1.0000 |
Node Level Measure | Min | Max | Average | Stddev |
---|---|---|---|---|
Centrality, Eigenvector | 0.0500 | 0.0783 | 0.0588 | 0.0088 |
Clustering Coefficient, Watts-Strogatz | 1.0000 | 1.0000 | 1.0000 | 0.0000 |