Social Network Analysis for PADGB

Graph Level Measure	Value
Clustering Coefficient, Watts-Strogatz	0.2979
Component Count	6.0000
Connectedness, Krackhardt	0.4583
Count, Edge	15.0000
Count, Column	16.0000
Count, Row	16.0000
Density	0.1250
Efficiency, Krackhardt	0.8889
Hierarchy, Krackhardt	0.0000
Isolate Count	5.0000
Reciprocity	1.0000
Upperboundedness, Krackhardt	1.0000

Node Level Measure	Min	Max	Average	Stddev
Centrality, Betweenness	0.0000	0.2381	0.0452	0.0786
Centrality, Eigenvector	0.0000	0.1615	0.0625	0.0587
Centrality, Information	0.0000	0.1326	0.0625	0.0466
[unscaled]	0.0000	1.2994	0.6126	0.4566
Centrality, Total Degree	0.0000	0.3333	0.1250	0.1127
[unscaled]	0.0000	10.0000	3.7500	3.3819
Clique Count	0.0000	3.0000	0.9375	1.0879
Clustering Coefficient, Watts-Strogatz	0.0000	1.0000	0.2979	0.3614
Simmelian Ties	0.0000	0.2667	0.1000	0.1080
[unscaled]	0.0000	4.0000	1.5000	1.6202

Measures for Largest Component

Graph Level Measure	Value
Characteristic Path Length	2.3818
Clustering Coefficient, Watts-Strogatz	0.4333

Node Level Measure	Min	Max	Average	Stddev
Centrality, Eigenvector	0.0249	0.1615	0.0909	0.0493
Clustering Coefficient, Watts-Strogatz	0.0000	1.0000	0.4333	0.3624