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可靠声誉和合作网络:综述。

Networks of reliable reputations and cooperation: a review.

机构信息

The Institute for Analytical Sociology, Linköping University, 601 74 Norrköping, Sweden.

Computational Social Science-Research Center for Educational and Network Studies (CSS-RECENS), Centre for Social Sciences, Tóth Kálmán u. 4., 1097 Budapest, Hungary.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2021 Nov 22;376(1838):20200297. doi: 10.1098/rstb.2020.0297. Epub 2021 Oct 4.

Abstract

Reputation has been shown to provide an informal solution to the problem of cooperation in human societies. After reviewing models that connect reputations and cooperation, we address how reputation results from information exchange embedded in a social network that changes endogenously itself. Theoretical studies highlight that network topologies have different effects on the extent of cooperation, since they can foster or hinder the flow of reputational information. Subsequently, we review models and empirical studies that intend to grasp the coevolution of reputations, cooperation and social networks. We identify open questions in the literature concerning how networks affect the accuracy of reputations, the honesty of shared information and the spread of reputational information. Certain network topologies may facilitate biased beliefs and intergroup competition or in-group identity formation that could lead to high cooperation within but conflicts between different subgroups of a network. Our review covers theoretical, experimental and field studies across various disciplines that target these questions and could explain how the dynamics of interactions and reputations help or prevent the establishment and sustainability of cooperation in small- and large-scale societies. This article is part of the theme issue 'The language of cooperation: reputation and honest signalling'.

摘要

声誉被证明是解决人类社会合作问题的一种非正式方法。在回顾了将声誉与合作联系起来的模型之后,我们探讨了声誉如何源自内生化变化的社会网络中的信息交换。理论研究强调,网络拓扑结构对合作程度有不同的影响,因为它们可以促进或阻碍声誉信息的流动。随后,我们回顾了旨在把握声誉、合作和社交网络共同演化的模型和实证研究。我们确定了文献中关于网络如何影响声誉的准确性、共享信息的诚实性以及声誉信息传播的开放性问题。某些网络拓扑结构可能会促进有偏见的信念和群体间竞争或群体内身份认同的形成,这可能导致网络内的高合作,但不同子网之间的冲突。我们的综述涵盖了跨多个学科的理论、实验和实地研究,这些研究针对这些问题,并可以解释互动和声誉的动态如何帮助或阻止小规模和大规模社会中合作的建立和可持续性。本文是主题为“合作的语言:声誉和诚实信号”的特刊的一部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53e1/8487750/f8c03b016b43/rstb20200297f01.jpg

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