Landry Nicholas W, Restrepo Juan G
Vermont Complex Systems Center, University of Vermont, Burlington, Vermont 05405, USA.
Department of Mathematics and Statistics, University of Vermont, Burlington, Vermont 05405, USA.
Phys Rev E. 2023 Sep;108(3-1):034311. doi: 10.1103/PhysRevE.108.034311.
The division of a social group into subgroups with opposing opinions, which we refer to as opinion disparity, is a prevalent phenomenon in society. This phenomenon has been modeled by including mechanisms such as opinion homophily, bounded confidence interactions, and social reinforcement mechanisms. In this paper, we study a complementary mechanism for the formation of opinion disparity based on higher-order interactions, i.e., simultaneous interactions between multiple agents. We present an extension of the planted partition model for uniform hypergraphs as a simple model of community structure, and we consider the hypergraph Susceptible-Infected-Susceptible (SIS) model on a hypergraph with two communities where the binary ideology can spread via links (pairwise interactions) and triangles (three-way interactions). We approximate this contagion process with a mean-field model and find that for strong enough community structure, the two communities can hold very different average opinions. We determine the regimes of structural and infectious parameters for which this opinion disparity can exist, and we find that the existence of these disparities is much more sensitive to the triangle community structure than to the link community structure. We show that the existence and type of opinion disparities are extremely sensitive to differences in the sizes of the two communities.
社会群体划分为持有对立观点的子群体,我们将其称为观点差异,这是社会中普遍存在的现象。这种现象已通过纳入诸如观点同质性、有限信心互动和社会强化机制等机制进行建模。在本文中,我们研究基于高阶互动(即多个主体之间的同步互动)形成观点差异的一种补充机制。我们提出了均匀超图的植入划分模型的扩展形式,作为社区结构的简单模型,并考虑在具有两个社区的超图上的超图易感 - 感染 - 易感(SIS)模型,其中二元意识形态可通过链接(成对互动)和三角形(三方互动)传播。我们用平均场模型近似这个传染过程,发现对于足够强的社区结构,两个社区可以持有非常不同的平均观点。我们确定了这种观点差异能够存在的结构参数和传染参数的范围,并且发现这些差异的存在对三角形社区结构比对链接社区结构更为敏感。我们表明观点差异的存在和类型对两个社区规模的差异极其敏感。