Social Network Analysis for ACTOR#2

Graph Level Measure	Value
Clustering Coefficient, Watts-Strogatz	0.4347
Component Count	1.0000
Connectedness, Krackhardt	1.0000
Count, Edge	110.0000
Count, Column	21.0000
Count, Row	21.0000
Density	0.2619
Efficiency, Krackhardt	0.6053
Hierarchy, Krackhardt	0.5916
Isolate Count	0.0000
Reciprocity	0.1579
Upperboundedness, Krackhardt	0.9053

Node Level Measure	Min	Max	Average	Stddev
Centrality, Betweenness	0.0000	0.1319	0.0315	0.0435
Centrality, Eigenvector	0.0189	0.0871	0.0476	0.0171
Centrality, Information	0.0301	0.0620	0.0476	0.0085
[unscaled]	1.6081	3.3063	2.5400	0.4542
Centrality, Total Degree	0.0750	0.5750	0.2619	0.1255
[unscaled]	3.0000	23.0000	10.4762	5.0201
Clique Count	1.0000	29.0000	7.1905	6.6089
Clustering Coefficient, Watts-Strogatz	0.2289	1.0000	0.4347	0.1699
Simmelian Ties	0.0000	0.2000	0.0571	0.0695
[unscaled]	0.0000	4.0000	1.1429	1.3900

Measures for Largest Component

Graph Level Measure	Value
Characteristic Path Length	1.9331
Clustering Coefficient, Watts-Strogatz	0.4347

Node Level Measure	Min	Max	Average	Stddev
Centrality, Eigenvector	0.0189	0.0871	0.0476	0.0171
Clustering Coefficient, Watts-Strogatz	0.2289	1.0000	0.4347	0.1699