Social Network Analysis for TEST

Graph Level Measure	Value
Clustering Coefficient, Watts-Strogatz	0.3111
Component Count	1.0000
Connectedness, Krackhardt	1.0000
Count, Edge	62.0000
Count, Column	36.0000
Count, Row	36.0000
Density	0.0984
Efficiency, Krackhardt	0.9546
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	0.5946	0.0629	0.1075
Centrality, Eigenvector	0.0011	0.1163	0.0278	0.0225
Centrality, Information	0.0137	0.0436	0.0278	0.0068
[unscaled]	0.3923	1.2491	0.7953	0.1961
Centrality, Total Degree	0.0286	0.3714	0.0984	0.0615
[unscaled]	2.0000	26.0000	6.8889	4.3062
Clique Count	0.0000	10.0000	1.5000	1.8634
Clustering Coefficient, Watts-Strogatz	0.0000	1.0000	0.3111	0.3169
Simmelian Ties	0.0000	0.3714	0.0667	0.0697
[unscaled]	0.0000	13.0000	2.3333	2.4381

Measures for Largest Component

Graph Level Measure	Value
Characteristic Path Length	3.1381
Clustering Coefficient, Watts-Strogatz	0.3111

Node Level Measure	Min	Max	Average	Stddev
Centrality, Eigenvector	0.0011	0.1163	0.0278	0.0225
Clustering Coefficient, Watts-Strogatz	0.0000	1.0000	0.3111	0.3169