An Evaluation of Microblog Users’ Influence Based on PageRank

Wang Xiao-tong

doi:10.3969/j.issn.1007-7162.2016.03.009

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An Evaluation of Microblog Users’ Influence Based on PageRank

更新时间：2026-05-27

- An Evaluation of Microblog Users’ Influence Based on PageRank
- Vol. 33, Issue 3, Pages: 49-54(2016)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1007-7162.2016.03.009
  CLC：
- Online First：19 May 2016，
  
  Published：2016
- 稿件说明：
移动端阅览
王晓彤. 基于PageRank的微博用户影响力度量[J]. 广东工业大学学报, 2016, 33(3): 49-54.

Wang Xiao-tong. An Evaluation of Microblog Users’ Influence Based on PageRank[J]. 2016, 33(3): 49-54.
王晓彤. 基于PageRank的微博用户影响力度量[J]. 广东工业大学学报, 2016, 33(3): 49-54. DOI： 10.3969/j.issn.1007-7162.2016.03.009.

Wang Xiao-tong. An Evaluation of Microblog Users’ Influence Based on PageRank[J]. 2016, 33(3): 49-54. DOI： 10.3969/j.issn.1007-7162.2016.03.009.

摘要

在微博社区中具有较高影响力的用户对信息推荐、市场营销、舆情控制等方面都起着重要作用.针对现有仅考虑网络拓扑结构的影响力研究方法，以微博用户为基础，提出了一种新的微博用户影响力度量模型——UIRank模型.此模型以用户之间的交互行为作为切入点，根据用户不同行为的权重差异确定用户间UIRank值的分配比例.实验证明，文中提出的影响力度量方法相比已有的方法更加准确和高效.

Abstract

High-impact users of microblog play an significant role in information recommendation

marketing

public opinion analysis and other areas. Aiming at the existing approaches to users’ influence only considering the network topology and taking the users of microblog as the entry point

a new model for calculating users’ influence is proposed-UIRank model. This model gives adequate consideration to the interaction between users and determines the distribution of the value of UIRank according to the weight difference of different user behaviors. It is proved by the results of the experiments that the method for calculating the users’ influence proposed is more accurate and efficient.

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