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Community detection in social networks is a hot research topic that has received great interest in the recent years due to its wide applicability. This paper proposes a scalable approach for community structure identification using a genetic algorithm. Two existing fitness functions are analyzed and genetic parameters are tuned on thoroughly studied networks with known community structures. Experiments...
Collaboration of peers is rather common in some scientific communities and is being facilitated with the advances in telecommunication and computer networking technologies. In this paper, we analyze the collaboration networks formed among Mexican computer science scholars, using social network analysis techniques. A series of measurements are performed to identify some patterns of collaboration both...
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