Social Network Analysis for TEST

Graph Level Measure	Value
Clustering Coefficient, Watts-Strogatz	0.1695
Component Count	1.0000
Connectedness, Krackhardt	1.0000
Count, Edge	118.0000
Count, Column	35.0000
Count, Row	35.0000
Density	0.0992
Efficiency, Krackhardt	0.8503
Hierarchy, Krackhardt	1.0000
Isolate Count	0.0000
Reciprocity	0.0000
Upperboundedness, Krackhardt	0.3743

Node Level Measure	Min	Max	Average	Stddev
Centrality, Betweenness	0.0000	0.0134	0.0012	0.0033
Centrality, Eigenvector	0.0008	0.0834	0.0286	0.0212
Centrality, Information	0.0000	0.0538	0.0286	0.0192
[unscaled]	0.0000	7.7759	4.1291	2.7786
Centrality, Total Degree	0.0147	0.7941	0.2479	0.1933
[unscaled]	1.0000	54.0000	16.8571	13.1413
Clique Count	0.0000	25.0000	4.2000	5.5949
Clustering Coefficient, Watts-Strogatz	0.0000	0.5000	0.1695	0.1313
Simmelian Ties	0.0000	0.0000	0.0000	0.0000
[unscaled]	0.0000	0.0000	0.0000	0.0000

Measures for Largest Component

Graph Level Measure	Value
Characteristic Path Length	1.3006
Clustering Coefficient, Watts-Strogatz	0.1695

Node Level Measure	Min	Max	Average	Stddev
Centrality, Eigenvector	0.0008	0.0834	0.0286	0.0212
Clustering Coefficient, Watts-Strogatz	0.0000	0.5000	0.1695	0.1313