计算机科学 ›› 2014, Vol. 41 ›› Issue (Z6): 400-405.

• 数据挖掘 • 上一篇    下一篇

微博社会网络重要用户节点筛选及舆情引导

谢天保,张晓雯,仵凯博   

  1. 西安理工大学经济与管理学院 西安710054;西安理工大学经济与管理学院 西安710054;西安理工大学计算机科学与工程学院 西安710054
  • 出版日期:2018-11-14 发布日期:2018-11-14

Important User Node Screening and Public Opinion Guiding for Microblogging Social Network

XIE Tian-bao,ZHANG Xiao-wen and WU Kai-bo   

  • Online:2018-11-14 Published:2018-11-14

摘要: 首先通过研究网络爬虫以及新浪微博的开放平台,设计实现新浪微博专用爬虫,获取研究数据。其次,通过实验得到重要用户节点指标,提出贝叶斯-PageRank算法筛选重要用户节点,并实验验证重要用户节点的有效性。最后通过对重要用户节点的监测实现网络舆情发现并给出相关舆情引导策略。

关键词: 微博社会网络,专用网络爬虫,重要用户节点筛选,舆情引导 中图法分类号TP391文献标识码A

Abstract: Firstly,studied the theory of web crawler and open platform Sina microblogging,designed Sina microblogging special reptile,access to research data.Secondly,got indicators of important user nodes through experiments,proposed Bayesian-PageRank algorithm screening important user nodes,and verified through experiment.Finally achieved internet public opinion through the monitoring of important user node,and gave the relevant public opinion guidance strategy.

Key words: Micro-blog social network,Private network crawler,Important user node screening,Public opinion guiding

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