A FRAMEWORK FOR COMMUNITY IDENTIFICATION IN DYNAMIC SOCIAL NETWORKS
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 0, Vol 4, Issue 10
Abstract
A unified framework is provided for tracking the evolution of hierarchical and overlapping communities in dynamic online social networks. HOCTracker is used for tracking such communities. HOCTracker adapts a preliminary community structure towards dynamic changes in social networks. It uses a novel density-based approach for detecting overlapping community structures. It automatically tracks evolutionary events like birth, growth, contraction, merge, split, and death of communities. It does not require an ageing function to remove old interactions for identifying community evolutionary events. HOCTracker is applicable to directed/undirected and weighted/unweighted networks.
Authors and Affiliations
D. Ragini*
Keywords
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