Social Network Analysis for NEWC1 |
---|
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 | 0.0387 | 0.0781 | 0.0588 | 0.0087 |
Centrality, Information | 0.0538 | 0.0662 | 0.0588 | 0.0033 |
[unscaled] | 69.9182 | 86.0373 | 76.4920 | 4.2557 |
Centrality, Total Degree | 6.3438 | 10.3750 | 8.5000 | 1.0906 |
[unscaled] | 203.0000 | 332.0000 | 272.0000 | 34.8999 |
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 | 0.0493 | 0.0700 | 0.0588 | 0.0064 |
Clustering Coefficient, Watts-Strogatz | 1.0000 | 1.0000 | 1.0000 | 0.0000 |