Social Network Analysis for ACTOR#16

Graph Level Measure	Value
Clustering Coefficient, Watts-Strogatz	0.4216
Component Count	1.0000
Connectedness, Krackhardt	1.0000
Count, Edge	49.0000
Count, Column	21.0000
Count, Row	21.0000
Density	0.1167
Efficiency, Krackhardt	0.8579
Hierarchy, Krackhardt	0.9759
Isolate Count	0.0000
Reciprocity	0.0426
Upperboundedness, Krackhardt	0.3474

Node Level Measure	Min	Max	Average	Stddev
Centrality, Betweenness	0.0000	0.0294	0.0046	0.0086
Centrality, Eigenvector	0.0202	0.0906	0.0476	0.0230
Centrality, Information	0.0293	0.0598	0.0476	0.0081
[unscaled]	0.7274	1.4874	1.1835	0.2002
Centrality, Total Degree	0.0500	0.2750	0.1167	0.0765
[unscaled]	2.0000	11.0000	4.6667	3.0602
Clique Count	1.0000	8.0000	2.7143	2.4523
Clustering Coefficient, Watts-Strogatz	0.1111	1.0000	0.4216	0.2437
Simmelian Ties	0.0000	0.0000	0.0000	0.0000
[unscaled]	0.0000	0.0000	0.0000	0.0000

Measures for Largest Component

Graph Level Measure	Value
Characteristic Path Length	1.4353
Clustering Coefficient, Watts-Strogatz	0.4216

Node Level Measure	Min	Max	Average	Stddev
Centrality, Eigenvector	0.0202	0.0906	0.0476	0.0230
Clustering Coefficient, Watts-Strogatz	0.1111	1.0000	0.4216	0.2437