Mining community-level influence in microblogging network: a case study on Sina Weibo
type: Item
instance of: scholarly article
title: Mining community-level influence in microblogging network: a case study on Sina Weibo
zbMATH Open document ID: 1382.91068
DOI: 10.1155/2017/4783159
author: Peng Zhang
published in: Complexity
publication date: 2018-02-01T00:00:00Z
review text: Summary: Social influence analysis is important for many social network applications, including recommendation and cybersecurity analysis. We observe that the influence of community including multiple users outweighs the individual influence. Existing models focus on the individual influence analysis, but few studies estimate the community influence that is ubiquitous in online social network. A major challenge lies in that researchers need to take into account many factors, such as user influence, social trust, and user relationship, to model community-level influence. In this paper, aiming to assess the community-level influence effectively and accurately, we formulate the problem of modeling community influence and construct a community-level influence analysis model. It first eliminates the zombie fans and then calculates the user influence. Next, it calculates the user final influence by combining the user influence and the willingness of diffusing theme information. Finally, it evaluates the community influence by comprehensively studying the user final influence, social trust, and relationship tightness between intrausers of communities. To handle real-world applications, we propose a community-level influence analysis algorithm called CIAA. Empirical studies on a real-world dataset from Sina Weibo demonstrate the superiority of the proposed model.
Mathematics Subject Classification ID: 91D30
Mathematics Subject Classification ID: 05C82
Mathematics Subject Classification ID: 65F60
zbMATH DE Number: 6833380
zbMATH Keywords: social influence
zbMATH Keywords: recommendation
zbMATH Keywords: cybersecurity analysis
zbMATH Keywords: influence analysis algorithm
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2017/4783159
OpenAlex ID: W2774493249
cites work: Massive Online Crowdsourced Study of Subjective and Objective Picture Quality
cites work: A Matrix Iteration for Dynamic Network Summaries
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description: scientific article; zbMATH DE number 6833380