A Novel Algorithm for Automatically Detecting Number of Clusters for Mining Communities in Heterogeneous Social Networks

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Provided by: International Journal of Science and Modern Engineering (IJISME)
Topic: Data Management
Format: PDF
Social media have attracted millions of user's attention in recent years. In a distributed social network a community mining is one of the major research areas. Mining of network communities is a major problem now a day. This problem should be avoided. Several methods were proposed, but most of the methods of community mining consider the homogeneous network. But in distributed network there are multiple networks are interconnected with each other which are known as heterogeneous networks. Each network represents a specific kind of relationship. Same time each relationship plays an important place in a distinct situation.
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