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静态与动态社会网络中的合作传播

Contagion of Cooperation in Static and Fluid Social Networks.

作者信息

Jordan Jillian J, Rand David G, Arbesman Samuel, Fowler James H, Christakis Nicholas A

机构信息

Department of Psychology, Harvard University, Cambridge, Massachusetts, United States of America ; Department of Psychology, Yale University, New Haven, Connecticut, United States of America.

出版信息

PLoS One. 2013 Jun 19;8(6):e66199. doi: 10.1371/journal.pone.0066199. Print 2013.

Abstract

Cooperation is essential for successful human societies. Thus, understanding how cooperative and selfish behaviors spread from person to person is a topic of theoretical and practical importance. Previous laboratory experiments provide clear evidence of social contagion in the domain of cooperation, both in fixed networks and in randomly shuffled networks, but leave open the possibility of asymmetries in the spread of cooperative and selfish behaviors. Additionally, many real human interaction structures are dynamic: we often have control over whom we interact with. Dynamic networks may differ importantly in the goals and strategic considerations they promote, and thus the question of how cooperative and selfish behaviors spread in dynamic networks remains open. Here, we address these questions with data from a social dilemma laboratory experiment. We measure the contagion of both cooperative and selfish behavior over time across three different network structures that vary in the extent to which they afford individuals control over their network ties. We find that in relatively fixed networks, both cooperative and selfish behaviors are contagious. In contrast, in more dynamic networks, selfish behavior is contagious, but cooperative behavior is not: subjects are fairly likely to switch to cooperation regardless of the behavior of their neighbors. We hypothesize that this insensitivity to the behavior of neighbors in dynamic networks is the result of subjects' desire to attract new cooperative partners: even if many of one's current neighbors are defectors, it may still make sense to switch to cooperation. We further hypothesize that selfishness remains contagious in dynamic networks because of the well-documented willingness of cooperators to retaliate against selfishness, even when doing so is costly. These results shed light on the contagion of cooperative behavior in fixed and fluid networks, and have implications for influence-based interventions aiming at increasing cooperative behavior.

摘要

合作对于成功的人类社会至关重要。因此,理解合作行为和自私行为如何在人与人之间传播是一个具有理论和实践重要性的话题。先前的实验室实验提供了明确的证据,证明在合作领域中,无论是在固定网络还是随机洗牌的网络中,都存在社会传播现象,但合作行为和自私行为传播过程中可能存在不对称性这一可能性仍未得到解决。此外,许多真实的人际互动结构是动态的:我们通常可以控制与谁进行互动。动态网络在其促进的目标和战略考量方面可能存在重要差异,因此合作行为和自私行为如何在动态网络中传播的问题仍然悬而未决。在这里,我们利用社会困境实验室实验的数据来解决这些问题。我们测量了在三种不同网络结构中,合作行为和自私行为随时间的传播情况,这三种网络结构在个体对其网络关系的控制程度上有所不同。我们发现,在相对固定的网络中,合作行为和自私行为都是可传播的。相比之下,在更具动态性的网络中,自私行为是可传播的,但合作行为并非如此:无论邻居的行为如何,受试者都相当有可能转向合作。我们假设,在动态网络中对邻居行为的这种不敏感性是受试者渴望吸引新的合作伙伴的结果:即使一个人当前的许多邻居都是背叛者,转向合作可能仍然是有意义的。我们进一步假设,自私行为在动态网络中仍然具有传染性,这是因为有充分记录表明,即使这样做成本高昂,合作者也愿意对自私行为进行报复。这些结果揭示了固定网络和流动网络中合作行为的传播情况,并对旨在增加合作行为的基于影响力的干预措施具有启示意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49c3/3686805/d862cd35fd87/pone.0066199.g001.jpg

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