基于大数据分析的多关系社交网络舆情传播模型研究
Public Opinion Propagation Model Based on Big Data Analytics in Multiple Relationship Social Network
投稿时间:2017-12-08  修订日期:2017-12-08
DOI:
中文关键词: 复杂网络  大数据分析  舆情传播模型  多关系社交网络  多子网复合复杂网络模型
英文关键词: complex network  big data analytics  public opinion propagation model  multiple relationships online social network  multi-subnet composited complex network model
基金项目:教育部人文社会科学研究青年基金(15YJC860001);青岛市社会科学规划项目(QDSKL170181);山东省自然基金面上项目(ZR2017MG011) ;山东省社会科学规划项目(17CHLJ16)
作者单位E-mail
崔树娟 青岛大学 数据科学与软件工程学院 csj@qdu.edu.cn 
宾晟 青岛大学 数据科学与软件工程学院  
孙更新 青岛大学 数据科学与软件工程学院  
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中文摘要:
      社交网络的用户之间存在着多种关系,这些关系共同决定了网络舆情的传播。为了真实再现舆情在多关系社交网络中的传播过程,通过对爬取的新浪微博数据进行大数据分析,从中得到社交网络中多种关系对网络舆情传播的影响,并基于复杂网络理论提出了一种适用于多关系社交网络的舆情传播模型。该模型根据多种关系对舆情传播的影响界定传播模型中各状态之间的转移过程和转移概率,仿真结果表明,与传统社交网络舆情传播模型相比,该舆情传播模型可以更好的描述真实互联网环境中舆情传播规律.
英文摘要:
      There are frequently many kinds of relationships in an online social network, and these relationships determine together the network public opinion propagation. In order to reproduce the real propagation process of network public opinion in the social network, the influence of various kinds of relationships in social networks on the network public opinion propagation can be got through big data analysis for the crawling Sina Weibo data, and then based on the complex network theory, a model of network public opinion propagation suitable for multiple relationship social networks is proposed. The model defines the transition process and transition probability between states according to the influence of multiple relationships on the network public opinion propagation, the simulation results show that the proposed model can well describe the propagation law of network public opinion in real Internet environment compared with the traditional social network public opinion propagation model.
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