计算机与现代化

• 数据库与数据挖掘 • 上一篇    下一篇

基于正负反馈的SEIR微博舆情传播模型

  

  1. (1.南京烽火软件科技有限公司,江苏南京210019;2.武汉邮电科学研究院,湖北武汉430074)
  • 收稿日期:2017-06-23 出版日期:2018-03-08 发布日期:2018-03-09
  • 作者简介:邱秀连(1981-),〖JP2〗女,湖南浏阳人,南京烽火软件科技有限公司工程师,硕士,研究方向:信息安全; 田小虎(1993-),男,武汉邮电科学研究院硕士研究生,研究方向:中文信息处理; 廖闻剑(1970-),男,高级工程师,博士,研究方向:数据挖掘。

SEIR Microblog Public Opinion Communication Model with Positive and Negative Feedbacks

  1. (1. Nanjing FiberHome Software Technology Co. Ltd., Nanjing 210019, China;
    2. Wuhan Research Institute of Posts and Telecommunications, Wuhan 430074, China)
  • Received:2017-06-23 Online:2018-03-08 Published:2018-03-09

摘要: 社交网络舆情已经成为社会舆情的主要阵地。针对传统模型难以描述社交网络舆情话题的真实传播过程,分析社交网络舆情话题的真实特点,补充加入社交网络中显著的水军和僵尸粉这2大显著特征,作为舆情话题传播中的正负反馈,分别对舆情话题的传播起到推动及抑制作用,构建带有正负反馈的社交网络舆情传播话题模型,提高舆情预测模型的准确率,得出正负反馈对舆情传播的影响力。

关键词: 社交网络, 舆情话题, 网络水军, 僵尸粉, 传播模型, 传染病动力学

Abstract: The social network public opinion has become the main position of social public opinion. Because the traditional public opinion prediction model is difficult to describe the real spreading process of social network, a social network topic propagation model based on infectious disease dynamics with positive and negative feedbacks is proposed. This paper analyzes the real characteristics of social network public opinion topic, adds two significant features: Internet mercenaries and zombie fans as positive and negative feedback in the dissemination of public opinion topics, which promote and inhibit the spread of opinion topics respectively. The SEIR microblog pubic opinion communication model with positive and negative feedbacks is constructed, which improves the public opinion prediction accuracy compared with traditional models, and gets the influence of positive and negative feedback on public opinion communication.

Key words: social networks, public opinion topic, Internet mercenaries, zombie fans, propagation model, SEIR

中图分类号: