从众效应下的网络舆论演化

doi:10.13190/j.jbupt.2014.s1.003

北京邮电大学学报 ›› 2014, Vol. 37 ›› Issue (s1): 12-17.doi: 10.13190/j.jbupt.2014.s1.003

从众效应下的网络舆论演化

张峰¹, 高枫², 吴斌¹, 王柏¹

1. 北京邮电大学北京市智能通信软件与多媒体重点实验室, 北京 100876;
2. 中国联通网络技术研究院, 北京 100048

收稿日期:2013-12-28 出版日期:2014-06-28 发布日期:2014-06-28
作者简介:张峰（1982- ），男，博士生，E-mail：zhangfeng_tseg@bupt.edu.cn；王柏（1962- ），女，教授，博士生导师.
基金资助:
国家重点基础研究发展计划项目（2013CB329603）；国家自然科学基金项目（61074128，71231002）

Network Opinion Evolution with Considering the Herding Effect Influence

ZHANG Feng¹, GAO Feng², WU Bin¹, WANG Bai¹

1. Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2. Network Technology Research Institute, China Unicom, Beijing 100048, China

Received:2013-12-28 Online:2014-06-28 Published:2014-06-28
Supported by:

摘要/Abstract

摘要：

针对传统舆论演化动力学研究忽略个体决策内驱力的问题，将有限信任模型与社会心理学从众效应理论相结合，建立依从、趋同和内化3种个体状态及状态转移策略，提出了基于期望牵引力和信任邻居群的动态决策演化模型.实验结果表明：在从众效应和期望牵引力共同影响下，观点出现收敛和分化，并存在小幅震荡；依从节点不会在演化稳定后消亡，而是保持低密度存在；与传统有限信任模型相比，进一步刻画社会网络中群体舆论演进和个体交互的行为特征，揭示了群体层面观点演化内在规律.

关键词: 观点动力学, 从众效应, 有限信任, 复杂网络

Abstract:

In order to solve the issue that the individual driving force lacks in traditional opinion model, a dynamics opinion model based on expected attraction and trust neighbor mass(DOET) model-dynamics opinion model based on expected attraction and trust neighbor mass is proposed. It combines exception-traction and herding effect which can establish state transfer and three kinds of opinion decision. The opinion is formed through DOET model with considering two factors of internal expectation attraction and trust neighbor mass. Experiments show that this model can simulate unification, polarization and mild concussion of opinion under influence of exception-traction and herding effect; because of network structure and distribution of initial opinion, the "Compliance" node is not disappeared but kept in existence. Also, DOET model is correspond to the characteristics of opinion formation and individual interaction with comparing existing opinion model. Consequently, this model can express internal disciplines also can be referred to the network analysis in opinion formation.

Key words: opinion dynamics, herding effect, bounded confidence, complex network

中图分类号:

TP391.9

张峰, 高枫, 吴斌, 王柏. 从众效应下的网络舆论演化[J]. 北京邮电大学学报, 2014, 37(s1): 12-17.

ZHANG Feng, GAO Feng, WU Bin, WANG Bai. Network Opinion Evolution with Considering the Herding Effect Influence[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(s1): 12-17.

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从众效应下的网络舆论演化

Network Opinion Evolution with Considering the Herding Effect Influence

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