Title: Prediction of N^th friends using spatial data mining in social networks

Authors: D. Gandhimathi; A. John Sanjeev Kumar

Addresses: Research and Development Center, Bharathiar University, Coimbatore-641046, India ' Department of MCA, Thiagarajar College of Engg., Madurai, India

Abstract: The role of social networks in particular Twitter on intentional social action, the relationship between personal networks and patterns of usage are the major concern nowadays. The proposed work is used to explore the human activity behaviour, profiling and their interestingness. Twitter4J is used to obtain an individual specific data. Collection of individual profile is used to exploit the relationship between individuals. N^th friend of individual can be found based on 'likeness' and 'interest' using neighbourhood-based concept. In experimental result, the proposed method gives better result in terms of accuracy and computational time.

Keywords: social network; Twitter; spatial mining; clustering.

DOI: 10.1504/IJAIP.2021.116368

International Journal of Advanced Intelligence Paradigms, 2021 Vol.19 No.3/4, pp.410 - 421

Received: 03 May 2018
Accepted: 10 Jun 2018
Published online: 21 Jul 2021 *

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