Social Network Analysis for NEWC6

Graph Level Measure	Value
Clustering Coefficient, Watts-Strogatz	1.0000
Component Count	1.0000
Connectedness, Krackhardt	1.0000
Count, Edge	136.0000
Count, Column	17.0000
Count, Row	17.0000
Density	1.0000
Efficiency, Krackhardt	0.0000
Hierarchy, Krackhardt	0.0000
Isolate Count	0.0000
Reciprocity	1.0000
Upperboundedness, Krackhardt	1.0000

Node Level Measure	Min	Max	Average	Stddev
Centrality, Betweenness	0.0000	0.0000	0.0000	0.0000
Centrality, Eigenvector	0.0410	0.0794	0.0588	0.0099
Centrality, Information	0.0506	0.0682	0.0588	0.0044
[unscaled]	66.1123	89.1438	76.8406	5.7929
Centrality, Total Degree	5.9688	11.7188	8.5000	1.5073
[unscaled]	191.0000	375.0000	272.0000	48.2335
Clique Count	1.0000	1.0000	1.0000	0.0000
Clustering Coefficient, Watts-Strogatz	1.0000	1.0000	1.0000	0.0000
Simmelian Ties	1.0000	1.0000	1.0000	0.0000
[unscaled]	16.0000	16.0000	16.0000	0.0000

Measures for Largest Component

Graph Level Measure	Value
Characteristic Path Length	1.0000
Clustering Coefficient, Watts-Strogatz	1.0000

Node Level Measure	Min	Max	Average	Stddev
Centrality, Eigenvector	0.0496	0.0792	0.0588	0.0087
Clustering Coefficient, Watts-Strogatz	1.0000	1.0000	1.0000	0.0000