Social Network Analysis for ACTOR#6

Graph Level Measure	Value
Clustering Coefficient, Watts-Strogatz	0.3901
Component Count	1.0000
Connectedness, Krackhardt	1.0000
Count, Edge	52.0000
Count, Column	21.0000
Count, Row	21.0000
Density	0.1238
Efficiency, Krackhardt	0.8526
Hierarchy, Krackhardt	0.8649
Isolate Count	0.0000
Reciprocity	0.0833
Upperboundedness, Krackhardt	0.4789

Node Level Measure	Min	Max	Average	Stddev
Centrality, Betweenness	0.0000	0.1048	0.0139	0.0297
Centrality, Eigenvector	0.0189	0.1081	0.0476	0.0259
Centrality, Information	0.0286	0.0600	0.0476	0.0070
[unscaled]	0.7529	1.5764	1.2521	0.1847
Centrality, Total Degree	0.0500	0.4000	0.1238	0.1034
[unscaled]	2.0000	16.0000	4.9524	4.1344
Clique Count	0.0000	13.0000	2.9048	3.4213
Clustering Coefficient, Watts-Strogatz	0.0000	0.8333	0.3901	0.2366
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	1.8810
Clustering Coefficient, Watts-Strogatz	0.3901

Node Level Measure	Min	Max	Average	Stddev
Centrality, Eigenvector	0.0189	0.1081	0.0476	0.0259
Clustering Coefficient, Watts-Strogatz	0.0000	0.8333	0.3901	0.2366