Coexistence of balance and hierarchies: An ego perspective to explain empirical networks.

IF 2.2 Q2 MULTIDISCIPLINARY SCIENCES
PNAS nexus Pub Date : 2025-04-29 eCollection Date: 2025-05-01 DOI:10.1093/pnasnexus/pgaf130
Piotr J Górski, Adam Sulik, Georges Andres, Giacomo Vaccario, Janusz A Hołyst
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Abstract

The formation of positive and negative relations between individuals in social networks can be described by different approaches. Two prominent mechanisms are structural balance and status hierarchies. Balance motivates stability among friends and enemies in triads (e.g. an enemy of my friend is my enemy). Status considers respect and disregard originating from social hierarchy (e.g. positive relations towards those we respect). We demonstrate that integrating the two mechanisms through the concept of ego dynamics is key to understanding observable patterns in many social groups. We propose an agent-based model where dynamical changes result from agents aiming to resolve inconsistencies with structural balance and status. In contrast to previous models, our approach employs the ego perspective. Agents have limited, local knowledge and can only change their own relations. By fitting the model to real-world networks, we successfully replicated the observed over- and under-representations of certain triads in 36 empirical signed networks. This close matching to empirical data is achievable only by taking the ego perspective and not assuming global knowledge. Additionally, the model reveals that, when the status mechanism dominates, people in real networks tend to strive for the top of the hierarchy. Finally, our numerical simulations and analytic solutions demonstrate that a previously thought as continuous phase transition towards the paradise state (all links positive) can become discontinuous when the status mechanism is involved. This discontinuity indicates that desirable social configurations may, in fact, be quite fragile.

平衡与等级的共存:从自我的角度解释经验网络。
社会网络中个体之间积极和消极关系的形成可以用不同的方法来描述。两个突出的机制是结构平衡和地位等级。在三位一体中,平衡可以促进朋友和敌人之间的稳定(例如,朋友的敌人就是我的敌人)。地位考虑了源自社会等级的尊重和无视(例如,与我们所尊重的人建立积极的关系)。我们证明,通过自我动力学的概念整合这两种机制是理解许多社会群体中可观察模式的关键。我们提出了一个基于智能体的模型,其中动态变化由智能体引起,旨在解决结构平衡和状态不一致的问题。与之前的模型相比,我们的方法采用了自我视角。代理商对当地的了解有限,只能改变自己的关系。通过将模型拟合到现实世界的网络中,我们成功地复制了36个经验签名网络中观察到的某些三联征的过度和不足表征。这种与经验数据的密切匹配只有通过采取自我视角而不是假设全球知识才能实现。此外,该模型还揭示了,当地位机制占主导地位时,现实网络中的人们倾向于争取层级的顶端。最后,我们的数值模拟和解析解表明,当涉及状态机制时,先前认为的向天堂状态(所有环节均为正)的连续相变可能变得不连续。这种不连续性表明,理想的社会结构实际上可能是相当脆弱的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.80
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