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Structural power and the evolution of collective fairness in social networks

机译:社会网络中的结构性力量和集体公平的演变

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摘要

From work contracts and group buying platforms to political coalitions and international climate and economical summits, often individuals assemble in groups that must collectively reach decisions that may favor each part unequally. Here we quantify to which extent our network ties promote the evolution of collective fairness in group interactions, modeled by means of Multiplayer Ultimatum Games (>MUG). We show that a single topological feature of social networks—which we call structural power—has a profound impact on the tendency of individuals to take decisions that favor each part equally. Increased fair outcomes are attained whenever structural power is high, such that the networks that tie individuals allow them to meet the same partners in different groups, thus providing the opportunity to strongly influence each other. On the other hand, the absence of such close peer-influence relationships dismisses any positive effect created by the network. Interestingly, we show that increasing the structural power of a network leads to the appearance of well-defined modules—as found in human social networks that often exhibit community structure—providing an interaction environment that maximizes collective fairness.
机译:从工作合同和团购平台到政治联盟,国际气候和经济峰会,人们通常会成群结队,必须集体做出可能对每个部分均不平等的决定。在这里,我们通过多人最后通Games游戏(> MUG )建模,量化我们的网络联系在多大程度上促进了集体互动中集体公平的发展。我们表明,社交网络的一个拓扑特征(我们称为结构性力量)对个人做出均等地偏爱每个部分的决策的趋势产生了深远的影响。只要结构力量很高,就可以增加公平的结果,从而使联系个人的网络使他们能够结识不同群体中的同一个伙伴,从而提供了互相影响的机会。另一方面,缺少这种紧密的同伴影响关系消除了网络所产生的任何积极影响。有趣的是,我们发现,增加网络的结构能力会导致出现定义明确的模块(在经常表现出社区结构的人类社交网络中发现),从而提供了一种使集体公平最大化的交互环境。

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