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A new opinion leaders detecting algorithm in multi-relationship online social networks

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Abstract

Opinion leaders in online social networks are important for various fields such as public opinion propagation, marketing management, administrative science and even politics. There are often many kinds of relationships in an online social network. Detecting and identifying opinion leaders depending on any one kind of relationship is inaccurate. In this paper, node importance analysis in multi-relationship online social networks was proposed by signalling based on Multi-subnet Composited Complex Networks Model, and considering the characteristics of multiple relationships which would interrelate with each other. Through node importance under multiple relationships, the novel opinion leader detecting algorithm in multi-relationship online social networks is proposed and approved to be efficient by experiments described in this paper.

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Acknowledgements

Many thanks are due to Neal Gilmore and Karen Gilmore for their assistance in language revision. Also, thanks to the editor and all anonymous reviewers for their constructive comments.

Funding

This work is supported by the Humanity and Social Science Youth foundation of Ministry of Education of China (grant no. 15YJC860001). This research is also supported by the Social Science Foundation of Qingdao, China (grant no. QDSKL150437), Statistical Science Research Project of China (grant no. 2015LZ20) and China Postdoctoral Science Foundation Funded Project (grant no. 2015 M580571, grant no. 2016 M590612).

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Authors and Affiliations

  1. College of Data Science and Software Engineering, Qingdao University, Qingdao, 266071, People’s Republic of China

    Gengxin Sun & Sheng Bin

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  1. Gengxin Sun
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  2. Sheng Bin
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Correspondence to Gengxin Sun.

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Sun, G., Bin, S. A new opinion leaders detecting algorithm in multi-relationship online social networks. Multimed Tools Appl 77, 4295–4307 (2018). https://doi.org/10.1007/s11042-017-4766-y

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  • DOI: https://doi.org/10.1007/s11042-017-4766-y

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