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in my dissertation I compared centrality measures with regard to some groups identified through a k-mean cluster analysis and I actually performed a post-hoc test to have deeper insights on dynamics between these 4 groups i had. Nevertheless, to do so I exported centralities in SPSS and did not performed the test with ucinet. you could try to do the same, but if someone knows if ucinet can perform post hoc too would be great.
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In my Phd study I want to use social network analysis to study adolescents’ interactions through several communication media in a school network. In accordance with many studies on adolescent networks I identified clique members, liaisons and isolates (by using negopy) in the friendship network. Now I want to compare these positions with regard to some centrality measures in the communication media relations (e.g. liaisons higher degree in instant messaging relation?). In Ucinet I can run a standard Anova, but I can’t seem to find a way to do a post hoc test (Tukey) to see whether all three positions differ significantly (as I am especially interested in differences between group members and liaisons).
I would be very thankful if somebody could help me.
Have a nice day
Katrien Van Cleemput
(Phd student communications, University of Antwerp, Belgium)