Social Network Analysis for BKFRAB

Graph Level Measure	Value
Clustering Coefficient, Watts-Strogatz	0.7474
Component Count	1.0000
Connectedness, Krackhardt	1.0000
Count, Edge	967.0000
Count, Column	58.0000
Count, Row	58.0000
Density	0.5850
Efficiency, Krackhardt	0.4298
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	0.0248	0.0075	0.0058
Centrality, Eigenvector	0.0005	0.0684	0.0172	0.0148
Centrality, Information	0.0030	0.0252	0.0172	0.0051
[unscaled]	5.5135	45.6604	31.1915	9.1635
Centrality, Total Degree	0.1053	7.0526	1.9262	1.4760
[unscaled]	12.0000	804.0000	219.5862	168.2653
Clique Count	1.0000	1395.0000	356.4138	365.7397
Clustering Coefficient, Watts-Strogatz	0.6312	1.0000	0.7474	0.0684
Simmelian Ties	0.1053	0.9123	0.5850	0.2005
[unscaled]	6.0000	52.0000	33.3448	11.4298

Measures for Largest Component

Graph Level Measure	Value
Characteristic Path Length	1.4192
Clustering Coefficient, Watts-Strogatz	0.7474

Node Level Measure	Min	Max	Average	Stddev
Centrality, Eigenvector	0.0005	0.0684	0.0172	0.0148
Clustering Coefficient, Watts-Strogatz	0.6312	1.0000	0.7474	0.0684