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An Enhanced Multi-Objective Biogeography-Based Optimization for Overlapping Community Detection in Social Networks with Node Attributes
In order to solve this problem, an evolutionary algorithm called MOBBO-OCD, which is based on multi-objective biogeography-based optimization (BBO), is proposed in this paper to automatically find overlapping communities in a social network with node attributes with synchronously considering the density of connections and the similarity of nodes' attributes in the network.
A new selection strategy for selective cluster ensemble based on Diversity and Independency
In recent years, Diversity and Quality, which are two metrics in evaluation procedure, have been used for selecting basic clustering results in the cluster ensemble selection.
Evaluating the effect of topic consideration in identifying communities of rating-based social networks
Finding meaningful communities in social network has attracted the attentions of many researchers.
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