Opinion formation is one of the most fascinating phenomena observed in human communities, and the ability to predict and to control the dynamics of this process is interesting from the theoretical as well as practical point of view. Although there are many sophisticated models of opinion formation, they often lack the connection with real life data, and there are still sociological processes that need to be explained. To address this, we propose a model describing the dynamics of opinion formation which mimics the process of the virus or disease spreading in the population. The introduced model is motivated by the model of disease spread with three possible channels - direct contact, indirect contact, and contact with "contaminated" elements. We demonstrate that the presence of "contaminated" elements, which in the case of on-line communities can be represented as the content published on the Internet, has considerable impact on the process of opinion formation. We argue that by using a simple mechanism of opinion spreading via passive elements, the introduced model captures the meaningful elements of opinion formation in complex communities. The presented work provides a step towards formulating universal laws governing social as well as physical or technical systems.
翻译:意见的形成是人类社区观察到的最引人入胜的现象之一,从理论和实践角度看,预测和控制这一进程动态的能力是令人感兴趣的。虽然有许多复杂的舆论形成模式,但它们往往缺乏与真实生活数据的联系,还有社会学进程需要加以解释。为了解决这个问题,我们提出了一个模式,描述模仿病毒或疾病在人口中传播过程的舆论形成动态。引入的模式的动机是疾病传播模式,有三种可能的渠道,即直接接触、间接接触和接触“受污染”元素。我们证明,“受污染”元素的存在,在网上社区可以作为网上发布的内容,对舆论形成过程产生相当大的影响。我们说,通过一个简单的意见通过被动元素传播机制,引进的模式可以捕捉在复杂的社区形成见解的有意义的要素。我们介绍的工作为制定规范社会以及物理或技术系统的普遍法律提供了一步。