CDNs Content Outsourcing via Generalized Communities
IEEE Transactions on Knowledge and Data Engineering
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In this paper, we analyze and compare the performance of four different community detection algorithms, each following a different approach. The performance of the algorithms is compared on a variety of benchmark graphs with known community structure. Experiments reveal the strengths and weaknesses of the involved algorithms and demonstrate the necessity to devise local and efficient community detection techniques that perform well under a variety of changing conditions.