Social Network Analysis for TEST |
---|
Graph Level Measure | Value |
---|---|
Clustering Coefficient, Watts-Strogatz | 0.4421 |
Component Count | 1.0000 |
Connectedness, Krackhardt | 1.0000 |
Count, Edge | 38.0000 |
Count, Column | 24.0000 |
Count, Row | 24.0000 |
Density | 0.1377 |
Efficiency, Krackhardt | 0.9407 |
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 | 0.6153 | 0.0906 | 0.1626 |
Centrality, Eigenvector | 0.0092 | 0.1194 | 0.0417 | 0.0280 |
Centrality, Information | 0.0284 | 0.0603 | 0.0417 | 0.0086 |
[unscaled] | 0.4225 | 0.8971 | 0.6203 | 0.1274 |
Centrality, Total Degree | 0.0435 | 0.3043 | 0.1377 | 0.0584 |
[unscaled] | 2.0000 | 14.0000 | 6.3333 | 2.6874 |
Clique Count | 0.0000 | 4.0000 | 1.1667 | 0.9428 |
Clustering Coefficient, Watts-Strogatz | 0.0000 | 1.0000 | 0.4421 | 0.3724 |
Simmelian Ties | 0.0000 | 0.2174 | 0.0978 | 0.0631 |
[unscaled] | 0.0000 | 5.0000 | 2.2500 | 1.4506 |
Measures for Largest Component |
---|
Graph Level Measure | Value |
---|---|
Characteristic Path Length | 2.9928 |
Clustering Coefficient, Watts-Strogatz | 0.4421 |
Node Level Measure | Min | Max | Average | Stddev |
---|---|---|---|---|
Centrality, Eigenvector | 0.0092 | 0.1194 | 0.0417 | 0.0280 |
Clustering Coefficient, Watts-Strogatz | 0.0000 | 1.0000 | 0.4421 | 0.3724 |