Prediction of Social Dimensions in a Heterogeneous Social Network

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 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.

Item Type: Conference or Workshop Item (Paper)
Subjects: Engineering > MIT Manipal > Information and Communication Technology
Depositing User: MIT Library
Date Deposited: 21 Nov 2017 07:08
Last Modified: 21 Nov 2017 07:08

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