当每个人都在竞争最强大的合作伙伴时,协作网络中的团结:一个基于参与者的随机模拟模型

IF 1.3 4区 社会学 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
F. Bianchi, A. Flache, F. Squazzoni
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引用次数: 13

摘要

摘要本文探讨了在竞争合作的专业人士之间的互动中团结的出现。对多元化合作网络的研究表明,在信任的调解下,经济交流可以引发团结,但没有考虑竞争的影响。为了填补这一空白,我们建立了一个基于代理的模型,模拟了协作、信任和支持期望的多重网络的演变。模拟表明,虽然资源异质性是协作的关键,但对有吸引力的协作伙伴的竞争会惩罚低资源的专业人员,他们的联系较少,隔离度较高。由于资源丰富的对等体的优先选择和互惠性,异构资源分布可能引发隔离。有趣的是,我们还发现,低资源的专业人士可以通过建立团队内的相互支持期望来减少他们的边缘化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Solidarity in collaboration networks when everyone competes for the strongest partner: a stochastic actor-based simulation model
ABSTRACT This article examines the emergence of solidarity from interactions between professionals competing for collaboration. Research on multiplex collaboration networks has shown that economic exchange can elicit solidarity when mediated by trust but did not consider the effect of competition. To fill this gap, we built an agent-based model that simulates the evolution of a multiplex network of collaboration, trust, and support expectations. Simulations show that while resource heterogeneity is key for collaboration, competition for attractive collaboration partners penalizes low-resource professionals, who are less connected and highly segregated. Heterogeneous resource distribution can trigger segregation because of preferential selection of resourceful peers and reciprocity. Interestingly, we also found that low-resource professionals can reduce their marginalization by building in-group mutual support expectations.
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来源期刊
Journal of Mathematical Sociology
Journal of Mathematical Sociology 数学-数学跨学科应用
CiteScore
2.90
自引率
10.00%
发文量
5
审稿时长
>12 weeks
期刊介绍: The goal of the Journal of Mathematical Sociology is to publish models and mathematical techniques that would likely be useful to professional sociologists. The Journal also welcomes papers of mutual interest to social scientists and other social and behavioral scientists, as well as papers by non-social scientists that may encourage fruitful connections between sociology and other disciplines. Reviews of new or developing areas of mathematics and mathematical modeling that may have significant applications in sociology will also be considered. The Journal of Mathematical Sociology is published in association with the International Network for Social Network Analysis, the Japanese Association for Mathematical Sociology, the Mathematical Sociology Section of the American Sociological Association, and the Methodology Section of the American Sociological Association.
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