Please wait a minute...
New Technology of Library and Information Service  2013, Vol. Issue (12): 74-80    DOI: 10.11925/infotech.1003-3513.2013.12.12
Current Issue | Archive | Adv Search |
The Topic Evolution Model of the Public Opinion in Micro-Blogging Network
Li Qing, Zhu Hengmin, Yang Dongchao
College of Economics & Management, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
Download: PDF(989 KB)   HTML  
Export: BibTeX | EndNote (RIS)      
Abstract  As the popular development of the micro-blog, which has gradually become the stage where the public opinion occurs and evolves. To analyze the mechanism of that, based on the traditional disease spreading dynamic model named SEIR, this paper proposes an evolution model with the immune function which can represent the characteristic of the micro-blog's fission spreading pattern. In this model, whether a micro-blog's user would re-tweet the message is mainly influenced by his/her impact and the interest's degree to the public opinion. And the authors simulate the parameters in this model to analyze and verify the model presented in this paper. The results show that user's interest to the public opinion is the key factor to affect the spreading extent.
Key wordsSEIR propagation model      Micro-blogging network      Spread evolution of the      public opinion     
Received: 14 August 2013      Published: 08 January 2014
:  C931.6  

Cite this article:

Li Qing, Zhu Hengmin, Yang Dongchao. The Topic Evolution Model of the Public Opinion in Micro-Blogging Network. New Technology of Library and Information Service, 2013, (12): 74-80.

URL:     OR

[1] 张彦超, 刘云, 张海峰, 等.基于在线社交网络的信息传播模型[J]. 物理学报, 2011, 60(5):1-7.(Zhang Yanchao, Liu Yun, Zhang Haifeng, et al.The Research of Information Dissemination Model on Online Social Network[J].Acta Physica Sinica, 2011, 60(5):1-7.)
[2] 张彦超.社交网络服务中信息传播模式与舆论演进过程研究[D].北京:北京交通大学, 2012.(Zhang Yanchao.Research on Information Dissemination and Opinion Evolution in the Social Networking Services[D]. Beijing: Beijing Jiaotong University, 2012.)
[3] 汪小帆, 李翔, 陈关荣.网络科学导论[M].北京:高等教育出版社, 2012.(Wang Xiaofan, Li Xiang, Chen Guanrong.Network Science: An Introduction[M].Beijing: Higher Education Press, 2012.)
[4] Xiong F, Liu Y, Zhang Z J, et al.An Information Diffusion Model Based on Retweeting Mechanism for Online Social Media[J].Physics Letters A, 2012, 376(30-31):2103-2108.
[5] Zhou Y.News Spreading Model Based on Micro-Blogging Platform in Network Era[A].//Informatics and Management Science VI[M]. London:Springer, 2013:173-180.
[6] 赵丽, 袁睿翕, 管晓宏, 等.博客网络中具有突发性的话题传播模型[J]. 软件学报, 2009, 20(5):1384-1392.(Zhao Li, Yuan Ruixi, Guan Xiaohong, et al.Bursty Propagation Model for Incidental Events in Blog Networks[J].Journal of Software, 2009, 20(5):1384-1392.)
[7] 李军, 陈震, 黄霁崴.微博影响力评价研究[J]. 信息网络安全, 2012(3):10-13, 27.(Li Jun, Chen Zhen, Huang Jiwei.Micro-blog Impact Evaluation Study[J].Netinfo Security, 2012(3):10-13, 27.)
[8] 原福永, 冯静, 符倩倩.微博用户的影响力指数模型[J]. 现代图书情报技术, 2012(6):60-64.(Yuan Fuyong, Feng Jing, Fu Qianqian.Influence Index Model of Micro-blog User[J].New Technology of Library and Information Service, 2012(6):60-64.)
[9] Cha M, Haddadi H, Benevenuto F, et al.Measuring User Influence in Twitter: The Million Follower Fallacy[C].In:Proceedings of the 4th International AAAI Conference on Weblogs and Social Media.2010:10-17.
[10] Wu X, Wang J.Micro-blog in China: Identify Influential Users and Automatically Classify Posts on Sina Micro-blog[J].Journal of Ambient Intelligence and Humanized Computing, 2012.doi:10.1007/S12652-012-0121-3.
[11] 马知恩, 周义仓, 王稳地, 等.传染病动力学的数学建模与研究[M].北京:科学出版社, 2004.(Ma Zhien, Zhou Yicang, Wang Wendi, et al. Epidemic Dynamics of Mathematical Modeling and Research[M]. Beijing: Science Press, 2004.)
[12] Kermack W O, McKendrick A G. A Contributions to the Mathematical Theory of Epidemics[J]. Proceedings of the Royal Society A, 1927, 115(772):700-721.
[1] Lin Wang,Ke Wang,Jiang Wu. Public Opinion Propagation and Evolution of Public Health Emergencies in Social Media Era: A Case Study of 2018 Vaccine Event[J]. 数据分析与知识发现, 2019, 3(4): 42-52.
[2] Jiang Wu,Yinghui Zhao,Jiahui Gao. Research on Weibo Opinion Leaders Identification and Analysis in Medical Public Opinion Incidents[J]. 数据分析与知识发现, 2019, 3(4): 53-62.
[3] Yanshuang Mei,Hengmin Zhu,Jing Wei. A Study on the Mechanism of Media Collaboration on the Spread of Internet Public Opinion[J]. 数据分析与知识发现, 2019, 3(2): 65-71.
[4] Longjia Jia,Bangzuo Zhang. Classifying Topics of Internet Public Opinion from College Students: Case Study of Sina Weibo[J]. 数据分析与知识发现, 2018, 2(7): 55-62.
[5] Xiufang Wang,Shu Sheng,Yan Lu. Analyzing Public Opinion from Microblog with Topic Clustering and Sentiment Intensity[J]. 数据分析与知识发现, 2018, 2(6): 37-47.
[6] Jingqi Wang,Rui Li,Huayi Wu. The Evolution of Online Public Opinion Based on Spatial Autocorrelation[J]. 数据分析与知识发现, 2018, 2(2): 64-73.
[7] Zhen Li,Shengchun Ding,Nan Wang. Identifying Topics of Online Public Opinion[J]. 数据分析与知识发现, 2017, 1(8): 18-30.
[8] Xiwei Wang,Liu Zhang,Shimeng Li,Nan’axue Wang. The Dissemination of Online Public Opinion on Social Welfare Issues via New Media: Case Study of “Draw up the Lifeline” in Sina Weibo[J]. 数据分析与知识发现, 2017, 1(6): 93-101.
[9] Shihai Tian,Deli Lyu. An Early Warning Algorithm for Public Opinion of Safety Emergency[J]. 数据分析与知识发现, 2017, 1(2): 11-18.
[10] Pu Han,Peng Wang. Simulating Public Opinion Evolution with Scale-Free Network Model and Infectious Disease Model[J]. 数据分析与知识发现, 2017, 1(10): 53-63.
[11] Ding Shengchun,Gong Silan,Li Hongmei. A New Method to Detect Bursty Events from Micro-blog Posts Based on Bursty Topic Words and Agglomerative Hierarchical Clustering Algorithm[J]. 现代图书情报技术, 2016, 32(7-8): 12-20.
[12] Cen Yonghua,Wang Yuefen. Social Public Opinion Analysis and Decision Making Support with Big Data[J]. 现代图书情报技术, 2016, 32(7-8): 3-11.
[13] Wu Peng,Jin Beibei,Qiang Shaohua. A BDI-Agent Based Model for Public Opinion Crisis Response[J]. 现代图书情报技术, 2016, 32(7-8): 32-41.
[14] Yang Xiaoping,Ma Qifeng,Yu Li,Mo Yuting,Wu Jia’nan,Zhang Yue. Gauging Public Opinion with Comment-Clusters[J]. 现代图书情报技术, 2016, 32(7-8): 51-59.
[15] Yang Aidong,Liu Dongsu. Hadoop Based Public Opinion Monitoring System for Micro-blogs[J]. 现代图书情报技术, 2016, 32(5): 56-63.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938