Social Network Analysis for ACTOR#4

Graph Level Measure	Value
Clustering Coefficient, Watts-Strogatz	0.5836
Component Count	1.0000
Connectedness, Krackhardt	1.0000
Count, Edge	199.0000
Count, Column	21.0000
Count, Row	21.0000
Density	0.4738
Efficiency, Krackhardt	0.4316
Hierarchy, Krackhardt	0.0000
Isolate Count	0.0000
Reciprocity	0.5547
Upperboundedness, Krackhardt	1.0000

Node Level Measure	Min	Max	Average	Stddev
Centrality, Betweenness	0.0006	0.1263	0.0299	0.0350
Centrality, Eigenvector	0.0249	0.0704	0.0476	0.0106
Centrality, Information	0.0261	0.0635	0.0476	0.0083
[unscaled]	2.4963	6.0696	4.5520	0.7953
Centrality, Total Degree	0.2000	0.8500	0.4738	0.1495
[unscaled]	8.0000	34.0000	18.9524	5.9799
Clique Count	3.0000	31.0000	10.6667	7.3441
Clustering Coefficient, Watts-Strogatz	0.4286	0.8393	0.5836	0.0963
Simmelian Ties	0.0000	0.7500	0.3238	0.1810
[unscaled]	0.0000	15.0000	6.4762	3.6203

Measures for Largest Component

Graph Level Measure	Value
Characteristic Path Length	1.5690
Clustering Coefficient, Watts-Strogatz	0.5836

Node Level Measure	Min	Max	Average	Stddev
Centrality, Eigenvector	0.0249	0.0704	0.0476	0.0106
Clustering Coefficient, Watts-Strogatz	0.4286	0.8393	0.5836	0.0963