Aiswarya, . and Pai, Radhika M (2017) Prediction of Social Dimensions in a Heterogeneous Social Network. In: Latest Advances in Machine learning and DAta Science , LAMDA 2017, 2017, National Institute of Technology, Goa.

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Abstract

Abstract Advancements in communication and computing technologies, allow people located geographically apart, to meet on a common platform to share information with each other. Social networking sites play an important role in this aspect. A lot of information can be inferred from such networks if the data is analyzed appropriately by applying a relevant data mining method. The proposed work concentrates on leveraging the connection information of the nodes in a social network for the prediction of social dimensions of new nodes joining the social network. In this work, an edge clustering algorithm and a multilabel classification algorithm is proposed to predict the social dimensions of the nodes joining an existing social network. The results of the proposed algorithms are found out to be satisfactory.

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