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现代图书情报技术  2014, Vol. 30 Issue (12): 78-84     https://doi.org/10.11925/infotech.1003-3513.2014.12.10
  情报分析与研究 本期目录 | 过刊浏览 | 高级检索 |
考虑次近邻影响的微博舆论观点演化模型
杨柳1, 朱恒民1, 马静2
1. 南京邮电大学管理学院 南京 210023;
2. 南京航空航天大学经济与管理学院 南京 210016
Evolution Model of Microblog Public Opinion Considering the Influence of Next-nearest Neighbors
Yang Liu1, Zhu Hengmin1, Ma Jing2
1. School of Management, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;
2. College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
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摘要 

[目的]研究考虑次近邻影响的微博舆论观点演化模型.[方法]采用有向BA无标度网络模拟微博用户关系网络, 设计近邻和次近邻影响下的用户观点演化规则.通过实验仿真有无次近邻影响下、不同评论概率和转发概率下的微博舆论观点演化过程.[结果]考虑到次近邻对观点演化过程的影响, 会缩短微博用户达成共识所用的时间.评论行为会延长微博舆论观点演化的弛豫时间, 而转发行为则会缩短微博舆论观点演化的弛豫时间.[局限]本模型重点突出考虑次近邻对微博舆论观点演化的影响, 未能考虑到社会环境等其他影响因素.[结论]考虑次近邻影响的微博舆论观点演化模型可以更为真实地刻画微博舆论观点的演化过程, 仿真结果揭示出微博具有短时间内聚集民意的作用, 极易造成舆论压力.

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朱恒民
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关键词 微博舆论观点演化BA无标度网络次近邻    
Abstract

[Objective] Study on an evolution model of microblog public opinion considering the influence of next-nearest neighbors. [Methods] Use the directed BA scale-free network to simulate the network formed by users' attention relationship in microblog, and design the iterative rule, in which the nearest and the next-nearest neighbors influence the microblog view evolution in combination. Then simulate the view evolution of microblog public opinion with or without the influence of next-nearest neighbors, and the opinion evolution under different review probabilities and different forwarding probabilities. [Results] Considering the influence of next-nearest neighbors on view evolution, it would take less time to reach an agreement for microblog users. The experiments show that the behaviour of review increases the relaxation time of opinion evolution, but the behaviour of forwarding shortens it. [Limitations] The model highlights the effect of next-nearest neighbors on the opinion evolution of microblog public opinion and does not account for other factors such as the social environment. [Conclusions] The evolution model of microblog public opinion considering the influence of next-nearest neighbors can characterize the opinion evolution of microblog public opinion in a more realistic way. The simulation results show that microblog plays a role in aggregating the public opinion in a short time period and easily causes public pressure.

Key wordsMicroblog public opinion    Opinion evolution    BA scale-free network    Next-nearest neighbor
收稿日期: 2014-05-05      出版日期: 2015-01-20
:  N99  
基金资助:

本文系国家自然科学基金项目"互联网舆情演化中群体行为协同演进模型研究"(项目编号:71271120)、国家自然科学基金项目"基于演化本体的网络舆情自适应话题跟踪方法研究"(项目编号:71373123)和教育部人文青年基金研究项目"基于互联网舆情传递阈限的群体事件在线监控研究"(项目编号: 13YJC630178)的研究成果之一.

通讯作者: 杨柳 E-mail: ylluckyyn@163.com     E-mail: ylluckyyn@163.com
作者简介: 作者贡献声明: 朱恒民, 杨柳: 提出研究思路, 设计研究方案; 杨柳, 马静: 进行实验; 杨柳, 朱恒民: 采集、清洗和分析数据; 杨柳, 马静: 起草论文; 朱恒民, 杨柳: 论文最终版本修订.
引用本文:   
杨柳, 朱恒民, 马静. 考虑次近邻影响的微博舆论观点演化模型[J]. 现代图书情报技术, 2014, 30(12): 78-84.
Yang Liu, Zhu Hengmin, Ma Jing. Evolution Model of Microblog Public Opinion Considering the Influence of Next-nearest Neighbors. New Technology of Library and Information Service, 2014, 30(12): 78-84.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2014.12.10      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2014/V30/I12/78

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