在具有高阶互动的社会系统中,腐败行为的爆炸性采用。

IF 3.2 2区 数学 Q1 MATHEMATICS, APPLIED
Chaos Pub Date : 2025-09-01 DOI:10.1063/5.0292972
Elisa Bretón-Fuertes, Clara Clemente-Marcuello, Verónica Sanz-Arqué, Gabriela Tomás-Delgado, Santiago Lamata-Otín, Hugo Pérez-Martínez, Jesús Gómez-Gardeñes
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引用次数: 0

摘要

社会系统中的人类行为往往受到群体压力和集体规范的影响,尤其是在社交媒体平台兴起之后。然而,在采取不当行为的背景下,大多数现有的传染模型依赖于成对的相互作用,因此无法捕捉群体层面的动态。为了填补这一空白,我们引入了诚实-腐败-排斥模型的高阶扩展,以研究个体通过群体结构相互作用的人群中系统性腐败的出现。该模型结合了由任意顺序的超边缘介导的传染样过渡,捕捉了群体环境中同伴压力的影响。分析和数值结果表明,高阶相互作用导致完全诚实和完全腐败政权之间的不连续(爆炸性)转变,由双稳相分隔。这种突然的行为在配对极限中消失,突出了群体互动的不稳定效应。此外,我们建立了我们的模型与更广泛的具有对称破缺的社会传染动力学之间的一般对应关系,恢复了以前的结果作为限制情况。这些发现强调了高阶结构在塑造行为采纳过程和社会系统稳定性方面的关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Explosive adoption of corrupt behaviors in social systems with higher-order interactions.

Human behaviors in social systems are often shaped by group pressure and collective norms, especially since the rise of social media platforms. However, in the context of adopting misbehaviors, most existing contagion models rely on pairwise interactions and thus fail to capture group-level dynamics. To fill this gap, we introduce a higher-order extension of the honesty-corruption-ostracism model to study the emergence of systemic corruption in populations where individuals interact through group structures. The model incorporates contagion-like transitions mediated by hyperedges of arbitrary order, capturing the influence of peer pressure in group settings. Analytical and numerical results show that higher-order interactions induce discontinuous (explosive) transitions between fully honest and fully corrupt regimes, separated by a bistable phase. This abrupt behavior disappears in the pairwise limit, highlighting the destabilizing effect of group interactions. Furthermore, we establish a general correspondence between our model and broader classes of social contagion dynamics with symmetry breaking, recovering previous results as limiting cases. These findings underscore the critical role of a higher-order structure in shaping behavioral adoption processes and the stability of social systems.

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来源期刊
Chaos
Chaos 物理-物理:数学物理
CiteScore
5.20
自引率
13.80%
发文量
448
审稿时长
2.3 months
期刊介绍: Chaos: An Interdisciplinary Journal of Nonlinear Science is a peer-reviewed journal devoted to increasing the understanding of nonlinear phenomena and describing the manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.
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