Abstract

Now a days the usage of social network such as facebook , flicker increases day by day. Most of the social networking sites supports Location Based Services(LBS). Location based social network used to identify the friends location and the current location details of the user. The Increasing availability of the smartphone makes the location based services more flexible. Most of the location based social networks do not have an explicit community structure. All the social network users belongs to atleast any one of the community depending upon their behavior and interest. Sometime the community structure may overlap. In this paper, by tracing the user locations use a multimode multi-attribute edge centric co-clustering framework to detect the overlapping community .The proposed framework uses both inter-mode and intra-mode features. By evaluating the collected dataset we can analyze the efficiency of our approach.

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