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I am a graduate student working on a social network project. I ran into two
questions about social network structural properties when I was using Ucinet
to analyze network data.
1. network--->centrality--->Degree: The output provide Freeman's graph
centralization measures. I understand that the degree centralization
expresses the degree of inequality or variance in the network as a
percentage of that of a perfect star network of the same size. The output
also indicates that centralization of a network could exceed 100% if valued
data are used. My question is how should a network centralization value
that exceeds 100% be interpreted? What does it mean? Does it mean the
network structure is more than a perfect star structure?
2. network--->cohesion---->Distance: the output provides distance-based
cohesion. It is also indicated that this value ranges from 0 to 1, with
larger value meaning higher degree of cohesiveness. How is this value
calculated? What exactly does it mean?
I appreciate any feedback from you! Thanks!
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