SE-CDA: A scalable and efficient community detection algorithm

Abstract

Detecting communities is of great importance in various disciplines such as social media, biology and telephone networks, where systems are often represented as graphs. Community is formed by individuals such that those within a group interact with each other more frequently than with those outside the group. The communities have different properties such… (More)
DOI: 10.1109/BigData.2014.7004318

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