论文标题
初始状态对复杂社交网络中意见形成的影响
Effects of Initial State on Opinion Formation in Complex Social Networks with Noises
论文作者
论文摘要
即使基于一些最简单的系统演化模型，复杂社交网络中的意见形成也可能表现出复杂的系统动态。一个有趣而重要的问题是初始状态对最终稳态舆论分布的影响。我们表明，尽管不同的初始意见分布肯定在没有噪音的社会系统中的意见演变上有所不同，但在有足够时间的噪声的系统中，不同的初始状态基本上并不有助于在最终稳定状态上产生任何显着差异。相反，正是首选意见的基础分布有助于决定系统的最终状态。这样的观察与对系统初始状态在意见形成中的作用的长期信念相矛盾。我们提出了一些关于支持我们陈述的原因的简短讨论，以及这种观察在现实生活中的含义。
Opinion formation in complex social networks may exhibit complex system dynamics even when based on some simplest system evolution models. An interesting and important issue is the effects of the initial state on the final steady-state opinion distribution. We show that, while different initial opinion distributions certainly make differences to opinion evolution in social systems without noises, in systems with noises, given enough time, different initial states basically do not contribute to making any significant differences in the final steady state. Instead, it is the basal distribution of the preferred opinions that contributes to deciding the final state of the systems. Such an observation contradicts with a long-term belief on the roles of system initial state in opinion formation. We propose some brief discussions on the reasons supporting our statement, and the implications of such an observation in real-life applications.
