Social Network Analysis for ZACHC

Graph Level Measure	Value
Clustering Coefficient, Watts-Strogatz	0.5706
Component Count	1.0000
Connectedness, Krackhardt	1.0000
Count, Edge	78.0000
Count, Column	34.0000
Count, Row	34.0000
Density	0.1390
Efficiency, Krackhardt	0.9148
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	0.4376	0.0440	0.0925
Centrality, Eigenvector	0.0040	0.0780	0.0294	0.0220
Centrality, Information	0.0173	0.0448	0.0294	0.0085
[unscaled]	1.9323	5.0007	3.2859	0.9509
Centrality, Total Degree	0.0909	1.4545	0.4118	0.3536
[unscaled]	6.0000	96.0000	27.1765	23.3395
Clique Count	0.0000	11.0000	2.3824	2.7118
Clustering Coefficient, Watts-Strogatz	0.0000	1.0000	0.5706	0.3423
Simmelian Ties	0.0000	0.4242	0.1194	0.1026
[unscaled]	0.0000	14.0000	3.9412	3.3863

Measures for Largest Component

Graph Level Measure	Value
Characteristic Path Length	2.4082
Clustering Coefficient, Watts-Strogatz	0.5706

Node Level Measure	Min	Max	Average	Stddev
Centrality, Eigenvector	0.0040	0.0780	0.0294	0.0220
Clustering Coefficient, Watts-Strogatz	0.0000	1.0000	0.5706	0.3423