Social Network Analysis for ACTOR#10 |
---|
Graph Level Measure | Value |
---|---|
Clustering Coefficient, Watts-Strogatz | 0.5701 |
Component Count | 1.0000 |
Connectedness, Krackhardt | 1.0000 |
Count, Edge | 150.0000 |
Count, Column | 21.0000 |
Count, Row | 21.0000 |
Density | 0.3571 |
Efficiency, Krackhardt | 0.5947 |
Hierarchy, Krackhardt | 0.0000 |
Isolate Count | 0.0000 |
Reciprocity | 0.5464 |
Upperboundedness, Krackhardt | 1.0000 |
Node Level Measure | Min | Max | Average | Stddev |
---|---|---|---|---|
Centrality, Betweenness | 0.0000 | 0.2592 | 0.0406 | 0.0587 |
Centrality, Eigenvector | 0.0190 | 0.0872 | 0.0476 | 0.0153 |
Centrality, Information | 0.0368 | 0.0687 | 0.0476 | 0.0077 |
[unscaled] | 2.5879 | 4.8323 | 3.3485 | 0.5434 |
Centrality, Total Degree | 0.1750 | 0.8250 | 0.3571 | 0.1543 |
[unscaled] | 7.0000 | 33.0000 | 14.2857 | 6.1732 |
Clique Count | 1.0000 | 25.0000 | 6.8095 | 5.1327 |
Clustering Coefficient, Watts-Strogatz | 0.3187 | 0.9500 | 0.5701 | 0.1654 |
Simmelian Ties | 0.1000 | 0.7000 | 0.2381 | 0.1550 |
[unscaled] | 2.0000 | 14.0000 | 4.7619 | 3.1000 |
Measures for Largest Component |
---|
Graph Level Measure | Value |
---|---|
Characteristic Path Length | 1.7714 |
Clustering Coefficient, Watts-Strogatz | 0.5701 |
Node Level Measure | Min | Max | Average | Stddev |
---|---|---|---|---|
Centrality, Eigenvector | 0.0190 | 0.0872 | 0.0476 | 0.0153 |
Clustering Coefficient, Watts-Strogatz | 0.3187 | 0.9500 | 0.5701 | 0.1654 |