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现代图书情报技术  2012, Vol. 28 Issue (5): 60-64     https://doi.org/10.11925/infotech.1003-3513.2012.05.09
  情报分析与研究 本期目录 | 过刊浏览 | 高级检索 |
面向话题衍生性的微博网络舆情传播模型研究
朱恒民, 李青
南京邮电大学产业信息安全与应急管理研究基地 南京 210003
Public Opinion Propagation Model with Topic Derivatives in the Micro-blog Network
Zhu Hengmin, Li Qing
Research Center of Industry Information Security and Emergency Management, Nanjing University of Posts & Telecommunications, Nanjing 210003, China
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摘要 微博网络中信息的“裂变式”传播模式对已有舆情传播模型提出挑战。为有效地揭示出微博用户关注关系所形成的复杂网络中舆情传播演化的机理,以有向无标度网络为载体提出舆情传播的SIRS模型,该模型综合考虑微博的传播特性以及舆情话题的衍生性等因素,并对模型进行仿真分析,其结果可以验证模型的有效性。
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朱恒民
李青
关键词 有向BA网络SIRS模型话题衍生性    
Abstract:Fission mode of information transmission in the micro-blog network presents a challenge to the existing public opinion propagation model. In order to depict the mechanism of the public opinion transmission in the complex network formed by users' attention relationship in micro-blog, the paper proposes an SIRS model of public opinion propagation based on the directed BA n etwork.The model considers the propagation characteristics of micro-blog, and derivatives of public opinion topics and other factors comprehensively.The simulation results can verify the validity of the model.
Key wordsDirected BA network    SIRS model    Topic derivative
收稿日期: 2012-03-31      出版日期: 2012-07-24
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基金资助:

本文系江苏省社会科学基金项目“网络舆论危机的生成与预警机制研究”(项目编号:10TQC009)、江苏省教育厅高校哲学社会科学项目“互联网舆情演化的动态网络模型研究”(项目编号:2011SJB870006)和国家自然科学基金项目“基于情景演化的数字化应急预案动态生成机制研究”(项目编号:71171117)的研究成果之一。

引用本文:   
朱恒民, 李青. 面向话题衍生性的微博网络舆情传播模型研究[J]. 现代图书情报技术, 2012, 28(5): 60-64.
Zhu Hengmin, Li Qing. Public Opinion Propagation Model with Topic Derivatives in the Micro-blog Network. New Technology of Library and Information Service, 2012, 28(5): 60-64.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2012.05.09      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2012/V28/I5/60
[1] 谢耘耕, 荣婷. 微博舆论生成演变机制和舆论引导策略[J]. 现代传播:中国传媒大学学报 ,2011(5):70-74.(Xie Gengyun, Rong Ting. Generation and Evolution Mechanisms of Public Opinion in Microblog and Guide Strategy for Public Opinion[J].Modern Communication: Journal of Communication University of China,2011(5):70-74.)

[2] 赵一鸣. 微博在网络舆论中的传播机制与对策[J]. 青年记者 ,2011(15):72-73.(Zhao Yiming. Spreading Mechanism and Countermeasure of Public Opinion in Micro-blog Network[J].Youth Journalist,2011 (15):72-73.)

[3] 夏雨禾. 微博互动的结构与机制—基于对新浪微博的实证研究[J]. 新闻与传播研究 ,2010(4):60-69.(Xia Yuhe.The Structure and Mechanism of Micro-blog Interaction: An Empirical Study on Sina Micro-blog[J].Journalism & Communication,2010(4):60-69.)

[4] 王晓光, 袁毅, 滕思琦. 微博社区交流网络结构的实证分析[J]. 情报杂志 ,2011,30(2):199-202, F0003.(Wang Xiaoguang, Yuan Yi, Teng Siqi. Empirical Analysis on Communicating Structure of Micro-blog Community[J].Journal of Intelligence,2011,30(2):199-202, F0003.)

[5] 平亮, 宗利永. 基于社会网络中心性分析的微博信息传播研究—以Sina微博为例[J]. 图书情报知识 ,2010(6):92-97.(Ping Liang, Zong Yongli. Research on Microblog Information Dissemination Based on SNA Centrality Analysis—A Case Study with Sina Microblog[J].Document, Information & Knowledge,2010(6):92-97.)

[6] 刘志明, 刘鲁. 微博网络舆情中的意见领袖识别及分析[J]. 系统工程 ,2011,29(6):8-16.(Liu Zhiming, Liu Lu. Recognition and Analysis of Opinion Leaders in Mircoblog Public Opinions[J].Systems Engineering,2011,29(6):8-16.)

[7] 李翔, 刘宗华,汪秉宏. 网络传播动力学[J]. 复杂系统与复杂性科学 ,2010,7(2-3):33-37.(Li Xiang, Liu Zonghua, Wang Binghong. On Spreading Dynamics on Networks[J].Complex Systems and Complexity Science,2010,7(2-3):33-37.)

[8] 何大韧, 刘宗华,汪秉宏. 复杂系统与复杂网络[M]. 北京:高等教育出版社,2009.(He Daren, Liu Zonghua, Wang Binghong. Complex Systems and Complex Networks[M].Beijing: Higher Education Press,2009.)

[9] Sudbury A.The Proportion of the Population Never Hearing a Rumour[J].Journal of Applied Probability,1985,22(2):443-446.

[10] Zanette D H. Dynamics of Rumor Propagation on Small-world Networks[J].Physical Review E,2002, 65(4):041908.

[11] Moreno Y, Nekovee M, Pacheco A F. Dynamics of Rumor Spreading in Complex Networks[J]. Physical Review E,2004,69(6):066130.

[12] Zhou J, Liu Z H, Li B W. Influence of Network Structure on Rumour Propagation[J].Physics Letters A,2007,368(6):458-463.

[13] Lu L Y, Chen D B, Zhou T. Small World Yields the Most Effective Information Spreading[J].New Journal of Physics, 2011 (13):123005.

[14] Barabási A L, Albert R. Emergence of Scaling in Random Networks[J].Science,1999,286(15):509-512.
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