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CHAOTIC MODES IN SCALE FREE OPINION NETWORKS

机译:在规模免费意见网络中的混沌模式

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In this paper, we investigate processes associated with formation of public opinion in varies directed random, scale free and small-world social networks. The important factor of the opinion formation is the existence of contrarians which were discovered by Gra-novetter in various social psychology experiments1,2,3 long ago and later introduced in sociophysics by Galam.4 When the density of contrarians increases the system behav-ior drastically changes at some critical value. At high density of contrarians the system can never arrive to a consensus state and periodically oscillates with different periods depending on specific structure of the network. At small density of the contrarians the behavior is manifold. It depends primary on the initial state of the system. If initially the majority of the population agrees with each other a state of stable majority may be easily reached. However when originally the population is divided in nearly equal parts consensus can never be reached. We model the emergence of collective decision making by considering N interacting agents, whose opinions are described by two state Ising spin variable associated with YES and NO. We show that the dynamical behaviors are very sensitive not only to the density of the contrarians but also to the network topology. We find that a phase of social chaos may arise in various dynamical processes of opin-ion formation in many realistic models. We compare the prediction of the theory with data describing the dynamics of the average opinion of the USA population collected on a day-by-day basis by varies media sources during the last six month before the final Obama-McCain election. The qualitative ouctome is in reasonable agreement with the prediction of our theory. In fact, the analyses of these data made within the paradigm of our theory indicates that even in this campaign there were chaotic elements where the public opinion migrated in an unpredictable chaotic way. The existence of such a phase of social chaos reflects a main feature of the human being associated with some doubts and uncertainty and especially associated with contrarians which undoubtly exist in any society.
机译:在本文中,我们探讨与形成的不定舆论的相关流程向的随机,无标度和小世界的社交网络。意见形成的重要因素是由GRA-novetter各种社会心理学experiments1,2,3发现不久前,后来由Galam.4 sociophysics介绍逆向的存在。当逆向的密度增加了系统behav-10R在某个临界值急剧变化。在逆向的高密度系统可以从未到达一个共识态,并用根据网络的具体结构不同周期内周期地进行振荡。在逆向的密度小的行为是多方面的。这取决于主对系统的初始状态。如果最初的大部分人口与稳定的多数彼此的状态一致,可以轻松到达。然而,当最初的人口几乎相等的部分共识分为永远无法到达。我们考虑ñ相互作用剂,其意见与YES和NO相关的两个状态伊辛自旋变量描述集体决策的出现建模。我们表明,动力学行为非常敏感,不仅对逆向的密度,而且网络拓扑。我们发现,社会混乱的阶段可以在许多现实模型的奥平离子形成各种动态过程出现。我们比较理论的预测与最后六月份的数据描述最终奥巴马,麦凯恩选前收集于一天按一天的基础上通过因人而异媒体来源的美国人口的平均舆论的动态变化。定性ouctome与我们的理论预测吻合。事实上,我们的理论范式内进行这些数据的分析表明,即使在这次竞选有在公众舆论中的不可预知的混乱方式迁移混乱的元素。社会混乱的这样一个阶段的存在体现了人性化的主要功能是与一些疑虑和不确定性,特别是与这在任何社会undoubtly存在逆向关联。

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