建模一个网络，其中每个单元的意见根据其邻近单元的多数裁决而变化
Modelling a network where the opinion of each unit varies according to a majority ruling of its neighbouring units
摘要：
人类行为的复杂性可能导致社会活动和结构中非常不可预测的模式。在这里，我们展示了由多数人统治控制的社区网络的不稳定性，其中一个元素采用了他们的同龄人最流行的意见。我们将社区建模为正方形网格，并对每个单元并行执行顺序时间步长数值计算。根据两种意见的初始比例，社区可以分为独立的帮派和派系，或者由单一意见主导。我们还注意到，帮派被中立或混乱的个人群体分开，缓冲了过渡。该模型所显示的行为可以轻松地应用于许多其他现实生活中的情况，如神经网络或生态网络。本文的结果已初步发表在参考文献[34]中。
英文摘要：
The complexity of human behaviour can lead to very unpredictable patterns in social activity and structure. Here we demonstrate the instability of a community network controlled by majority ruling, where an element adopts the most popular opinion of their peers. We modelled a community as a square lattice, and performed sequential time step numerical calculations upon each cell in parallel. Depending on the initial ratio of two opinions, the community can segregate either into separate gangs and cliques, or get dominated by a single opinion. We also note that gangs are separated by neutral or confused groups of individuals, buffering the transition. The behaviors shown by this model can be comfortably applied to many other real life situations, such as neural or ecological networks. The results of this paper have been preliminary published in the Ref. [34].
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
