Social Network Analysis for NEWC4 |
---|
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 | 0.0434 | 0.0732 | 0.0588 | 0.0082 |
Centrality, Information | 0.0520 | 0.0668 | 0.0588 | 0.0040 |
[unscaled] | 67.7790 | 87.0965 | 76.6826 | 5.2730 |
Centrality, Total Degree | 6.3125 | 11.0938 | 8.5000 | 1.3611 |
[unscaled] | 202.0000 | 355.0000 | 272.0000 | 43.5539 |
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 | 0.0498 | 0.0752 | 0.0588 | 0.0081 |
Clustering Coefficient, Watts-Strogatz | 1.0000 | 1.0000 | 1.0000 | 0.0000 |