Mining structural influence to analyze relationships in social network

Lin Guo and Ben Zhang

Physica A: Statistical Mechanics and its Applications, 2019, vol. 523, issue C, 301-309

Abstract: Social influence is a fundamental issue in social network analysis and has attracted tremendous attention. However, existing research mainly focuses on studying peer influence. The method proposed is to analyze the degree of influence between nodes in a low-density network, and then mine structural influence and predict the degree of affect between the center node and others. We evaluate the proposed algorithm on both synthetic and real large networks. Experimental results show that our proposed algorithm has better performance than several alternative algorithms.

Keywords: Strong-tie detection; Influence analysis; Ego network; Social network (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:523:y:2019:i:c:p:301-309

DOI: 10.1016/j.physa.2019.02.005

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