Social Network Analysis for ACTOR#9

Graph Level Measure	Value
Clustering Coefficient, Watts-Strogatz	0.4991
Component Count	1.0000
Connectedness, Krackhardt	1.0000
Count, Edge	154.0000
Count, Column	21.0000
Count, Row	21.0000
Density	0.3667
Efficiency, Krackhardt	0.5632
Hierarchy, Krackhardt	0.0000
Isolate Count	0.0000
Reciprocity	0.4951
Upperboundedness, Krackhardt	1.0000

Node Level Measure	Min	Max	Average	Stddev
Centrality, Betweenness	0.0007	0.1865	0.0383	0.0489
Centrality, Eigenvector	0.0203	0.0774	0.0476	0.0171
Centrality, Information	0.0344	0.0630	0.0476	0.0085
[unscaled]	2.4800	4.5438	3.4325	0.6140
Centrality, Total Degree	0.1250	0.7500	0.3667	0.1458
[unscaled]	5.0000	30.0000	14.6667	5.8337
Clique Count	3.0000	21.0000	7.2857	5.1283
Clustering Coefficient, Watts-Strogatz	0.3500	0.7143	0.4991	0.1045
Simmelian Ties	0.0000	0.6000	0.1762	0.1630
[unscaled]	0.0000	12.0000	3.5238	3.2604

Measures for Largest Component

Graph Level Measure	Value
Characteristic Path Length	1.7286
Clustering Coefficient, Watts-Strogatz	0.4991

Node Level Measure	Min	Max	Average	Stddev
Centrality, Eigenvector	0.0203	0.0774	0.0476	0.0171
Clustering Coefficient, Watts-Strogatz	0.3500	0.7143	0.4991	0.1045