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Social Network Analysis in UCINET by Dan Costescu is a document available to read on EtoBox.
What is Social Network Analysis in UCINET about?
The document analyzes social networks and determines the degree of centrality within a network of 30 nodes. It finds that nodes Teodor and Bianca have the highest normalized indegree and outdegree centrality at 68.966%, making them the most influential nodes. It also determines that nodes Teodor and Bianca have the shortest path to other nodes, with closeness centrality of 76.316%, indicating they have the fastest influence.
- Author
- Dan Costescu
- Language
- EN