基于模糊元胞自动机的网络舆情演化模型

被引:9
作者
陈涛 [1 ,2 ]
林杰 [1 ]
机构
[1] 同济大学经济与管理学院
[2] 宁波大学商学院信息管理系
关键词
有向小世界网络; 网络舆情; 模糊元胞自动机; 演化;
D O I
暂无
中图分类号
G350 [情报学];
学科分类号
摘要
本文利用模糊元胞自动机模型研究网络舆情的演化行为,包括当前元胞的情感倾向、自信度和周边元胞的影响度以及周边元胞的情感倾向等四个主要要素,利用模糊理论建立起了当前元胞情感倾向被周边元胞影响规则。借鉴心理学方面专家的支持,一共建立了70条不同权重的模糊规则。同时,对元胞自动机的领域半径R以及有向小世界网络随机重连概率P等因素对网络舆情演化结果的影响进行了讨论。网络舆情演化的模拟结果表明,网络舆情呈现集中化、极性化特点,比较符合网络舆情演化的真实情境。
引用
收藏
页码:920 / 928
页数:9
相关论文
共 22 条
  • [1] Contrarian deterministic effects on opinion dynamics: “the hung elections scenario”[J] . Serge Galam. &nbspPhysica A: Statistical Mechanics and its Applications . 2003
  • [2] Applications of small-world networks to some socio-economic systems[J] . A.S. Elgazzar. &nbspPhysica A: Statistical Mechanics and its Applications . 2003 (1)
  • [3] Real space renormalization group and totalitarian paradox of majority rule voting[J] . Serge Galam. &nbspPhysica A: Statistical Mechanics and its Applications . 2000 (1)
  • [4] ON SPATIAL CONSENSUS FORMATION: IS THE SZNAJD MODEL DIFFERENT FROM A VOTER MODEL?. LAXMIDHAR BEHERA,FRANK SCHWEITZER. International Journal of Modern Physics C . 2003
  • [5] Collective dynamics of "small-world" networks. Watts D J,Strogatz S H. Nature . 1998
  • [6] A Generation Model to Unify Topic Relevance and Lexicon-based Sentiment for Opinion Retrieval. Zhang M,Ye X. SIGIR . 2008
  • [7] Opinion retrieval from Blogs. W. Zhang,C. Yu,W. Y. Meng. Proceedings of CIKM . 2007
  • [8] Kinetic models of opinion formation. Giuseppe Toscani. Communications in Mathematical Sciences . 2006
  • [9] Papers of John von Neumann on Computing and Computer Theory. von Neumann J. Series on the History of Computing . 1963
  • [10] Truth and cognitive division of labour: First steps towards a computer aided social epistemology. R. Hegselmann,U. Krause. Journal of Artificial Organs . 2006