Social Network Analysis for TEST

Graph Level Measure	Value
Clustering Coefficient, Watts-Strogatz	0.5514
Component Count	1.0000
Connectedness, Krackhardt	1.0000
Count, Edge	975.0000
Count, Column	77.0000
Count, Row	77.0000
Density	0.1666
Efficiency, Krackhardt	0.7291
Hierarchy, Krackhardt	0.5690
Isolate Count	0.0000
Reciprocity	0.1498
Upperboundedness, Krackhardt	1.0000

Node Level Measure	Min	Max	Average	Stddev
Centrality, Betweenness	0.0000	0.1124	0.0105	0.0201
Centrality, Eigenvector	0.0000	0.1314	0.0130	0.0234
Centrality, Information	0.0000	0.0246	0.0130	0.0107
[unscaled]	0.0000	9860.9053	5202.9053	4286.9399
Centrality, Total Degree	19.0592	121572.0625	10516.1953	21005.9980
[unscaled]	2897.0000	18478954.0000	1598461.7500	3192911.7500
Clique Count	1.0000	256.0000	35.1169	57.9671
Clustering Coefficient, Watts-Strogatz	0.1594	1.0000	0.5514	0.2028
Simmelian Ties	0.0000	0.2368	0.0390	0.0616
[unscaled]	0.0000	18.0000	2.9610	4.6806

Measures for Largest Component

Graph Level Measure	Value
Characteristic Path Length	2.2792
Clustering Coefficient, Watts-Strogatz	0.5514

Node Level Measure	Min	Max	Average	Stddev
Centrality, Eigenvector	0.0000	0.1314	0.0130	0.0234
Clustering Coefficient, Watts-Strogatz	0.1594	1.0000	0.5514	0.2028