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