论文标题
基于自发对称破坏的概念的在线社交网络的极化模型
Polarization Model of Online Social Networks Based on the Concept of Spontaneous Symmetry Breaking
论文作者
论文摘要
信息网络的传播不仅使人们更容易访问各种信息源，而且可以大大提高个人传播信息的能力。但是，不幸的是，在线社交网络中诽谤的问题表明，不断发展的信息网络环境并不一定支持社会中的相互理解。由于具有特定偏见的信息仅分配给那些喜欢它的社区，因此社会分为各种相对群体的分裂得到了加强。这种现象称为极化。有必要理解极化的机制，以建立可以对抗极化的技术。本文介绍了一种基于自发对称性破坏的概念的极化的基本模型。我们的起点是描述在线社交网络中用户动态的振荡模型。
The spread of information networks has not only made it easier for people to access a variety of information sources but also greatly enhanced the ability of individuals to disseminate information. Unfortunately, however, the problem of slander in online social networks shows that the evolving information network environment does not necessarily support mutual understanding in society. Since information with particular bias is distributed only to those communities that prefer it, the division of society into various opposing groups is strengthened. This phenomenon is called polarization. It is necessary to understand the mechanism of polarization to establish technologies that can counter polarization. This paper introduces a fundamental model for understanding polarization that is based on the concept of spontaneous symmetry breaking; our starting point is the oscillation model that describes user dynamics in online social networks.
