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Stochastic Sznajd Model in open community

机译:开放社区中的随机Sznajd模型

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摘要

We extend the Sznajd Model for opinion formation by introducing persuasion probabilities for opinions. Moreover, we couple the system to an environment which mimics the application of the opinion. This results in a feedback, representing single-state opinion transitions in opposite to the two-state opinion transitions for persuading other people. We call this model opinion formation in an open community (OFOC). It can be seen as "stochastic extension of the Sznajd model for an open community, because it allows for "special choice of parameters to recover the original Sznajd model. We demonstrate the effect of feedback in the OFOC model by applying it to a scenario in which, e.g., opinion B is worse then opinion A but easier explained to other people. Casually formulated we analyzed the question, how much better one has to be, in order to persuade other people, provided the opinion is worse. Our results reveal a linear relation between the transition probability for opinion B and the influence of the environment on B.
机译:通过引入观点的说服概率,我们将Sznajd模型扩展为观点形成。此外,我们将系统耦合到模拟意见应用的环境。这导致产生反馈,该反馈表示与说服他人的两国意见转变相反的单一州意见转变。我们称其为开放社区(OFOC)中的这种典型意见形成。可以将其视为“开放社区Sznajd模型的随机扩展,因为它允许”特殊选择的参数来恢复原始Sznajd模型。我们通过将OFOC模型应用于以下情况来证明反馈在OFOC模型中的作用:例如,意见B比意见A差,但对其他人更容易解释。随便提出来,我们分析了一个问题,只要说得更糟,为了说服别人,一个人必须要好得多。我们的结果揭示了意见B的转移概率与环境对B的影响之间的线性关系。

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