Social Network Analysis for NEWC8 |
---|
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 | 0.0448 | 0.0824 | 0.0588 | 0.0102 |
Centrality, Information | 0.0502 | 0.0673 | 0.0588 | 0.0042 |
[unscaled] | 65.5087 | 87.8212 | 76.7273 | 5.5094 |
Centrality, Total Degree | 6.1250 | 11.9063 | 8.5000 | 1.4868 |
[unscaled] | 196.0000 | 381.0000 | 272.0000 | 47.5778 |
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 |
---|
Graph Level Measure | Value |
---|---|
Characteristic Path Length | 1.0000 |
Clustering Coefficient, Watts-Strogatz | 1.0000 |
Node Level Measure | Min | Max | Average | Stddev |
---|---|---|---|---|
Centrality, Eigenvector | 0.0505 | 0.0815 | 0.0588 | 0.0087 |
Clustering Coefficient, Watts-Strogatz | 1.0000 | 1.0000 | 1.0000 | 0.0000 |