Social Network Analysis for PADGM

Graph Level Measure	Value
Clustering Coefficient, Watts-Strogatz	0.1500
Component Count	2.0000
Connectedness, Krackhardt	0.8750
Count, Edge	20.0000
Count, Column	16.0000
Count, Row	16.0000
Density	0.1667
Efficiency, Krackhardt	0.9341
Hierarchy, Krackhardt	0.0000
Isolate Count	1.0000
Reciprocity	1.0000
Upperboundedness, Krackhardt	1.0000

Node Level Measure	Min	Max	Average	Stddev
Centrality, Betweenness	0.0000	0.4524	0.0929	0.1134
Centrality, Eigenvector	0.0000	0.1229	0.0625	0.0345
Centrality, Information	0.0000	0.0962	0.0625	0.0232
[unscaled]	0.0000	1.1178	0.7259	0.2689
Centrality, Total Degree	0.0000	0.4000	0.1667	0.0972
[unscaled]	0.0000	12.0000	5.0000	2.9155
Clique Count	0.0000	2.0000	0.5625	0.7043
Clustering Coefficient, Watts-Strogatz	0.0000	0.6667	0.1500	0.2007
Simmelian Ties	0.0000	0.2000	0.0667	0.0782
[unscaled]	0.0000	3.0000	1.0000	1.1726

Measures for Largest Component

Graph Level Measure	Value
Characteristic Path Length	2.4857
Clustering Coefficient, Watts-Strogatz	0.1600

Node Level Measure	Min	Max	Average	Stddev
Centrality, Eigenvector	0.0128	0.1229	0.0667	0.0315
Clustering Coefficient, Watts-Strogatz	0.0000	0.6667	0.1600	0.2034