arXiv · 1903.06232
Predicting Stability of Community Members in Complex Networks
Abstract
In this work, we analyse and predict the stability of communities in complex networks. We use a variant of closeness centrality, known as profile closeness, to measure the loyalty of a member towards its community. We show that the profile closeness is an adequate indicator of how communities evolve in a network. We investigate this in static as well as dynamic (temporal) networks and establish the relevance of profile closeness in predicting the evolution of a complex network. Keywords: Small world networks , Centrality , Community , Closeness , Clustering
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Sruthi K S, Divya Sindhu Lekha, A Sreekumar, Kannan Balakrishnan. 2019-03-14. Predicting Stability of Community Members in Complex Networks. https://arxiv.org/abs/1903.06232
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