Social Network Analysis for ACTOR#8

Graph Level Measure	Value
Clustering Coefficient, Watts-Strogatz	0.4656
Component Count	1.0000
Connectedness, Krackhardt	1.0000
Count, Edge	134.0000
Count, Column	21.0000
Count, Row	21.0000
Density	0.3190
Efficiency, Krackhardt	0.5526
Hierarchy, Krackhardt	0.2609
Isolate Count	0.0000
Reciprocity	0.2762
Upperboundedness, Krackhardt	0.9842

Node Level Measure	Min	Max	Average	Stddev
Centrality, Betweenness	0.0000	0.2231	0.0436	0.0502
Centrality, Eigenvector	0.0189	0.0827	0.0476	0.0156
Centrality, Information	0.0363	0.0587	0.0476	0.0066
[unscaled]	2.4241	3.9258	3.1820	0.4415
Centrality, Total Degree	0.1250	0.5750	0.3190	0.1225
[unscaled]	5.0000	23.0000	12.7619	4.8981
Clique Count	2.0000	29.0000	7.9048	6.2633
Clustering Coefficient, Watts-Strogatz	0.2921	0.7000	0.4656	0.1012
Simmelian Ties	0.0000	0.4000	0.0857	0.1071
[unscaled]	0.0000	8.0000	1.7143	2.1413

Measures for Largest Component

Graph Level Measure	Value
Characteristic Path Length	1.9667
Clustering Coefficient, Watts-Strogatz	0.4656

Node Level Measure	Min	Max	Average	Stddev
Centrality, Eigenvector	0.0189	0.0827	0.0476	0.0156
Clustering Coefficient, Watts-Strogatz	0.2921	0.7000	0.4656	0.1012