Trust based attachment

In social systems subject to indirect reciprocity, a positive reputation is key for increasing one’s likelihood of future positive interactions [1–13]. The flow of gossip can amplify the impact of a person’s actions on their reputation depending on how widely it spreads across the social network, wh...

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Bibliographic Details
Published in:PloS one 2023-08, Vol.18 (8), p.e0288142-e0288142
Main Authors: Kates-Harbeck, Julian, Nowak, Martin
Format: Article
Language:English
Subjects:
Algorithms
Analysis
Attachment behavior
BASIC BIOLOGICAL SCIENCES
Biology and Life Sciences
Clustering
Communication
Computer and Information Sciences
Gossip
Heuristic
Incentives
Percolation
Probability
Reciprocity
Reputations
Social conditions
Social interactions
Social networks
Social norms
Social organization
Social Sciences
Trustworthiness
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Summary:In social systems subject to indirect reciprocity, a positive reputation is key for increasing one’s likelihood of future positive interactions [1–13]. The flow of gossip can amplify the impact of a person’s actions on their reputation depending on how widely it spreads across the social network, which leads to a percolation problem [14]. To quantify this notion, we calculate the expected number of individuals, the “audience”, who find out about a particular interaction. For a potential donor, a larger audience constitutes higher reputational stakes, and thus a higher incentive, to perform “good” actions in line with current social norms [7, 15]. For a receiver, a larger audience therefore increases the trust that the partner will be cooperative. This idea can be used for an algorithm that generates social networks, which we call trust based attachment (TBA). TBA produces graphs that share crucial quantitative properties with real-world networks, such as high clustering, small-world behavior, and powerlaw degree distributions [16–21]. We also show that TBA can be approximated by simple friend-of-friend routines based on triadic closure, which are known to be highly effective at generating realistic social network structures [19, 22–25]. Therefore, our work provides a new justification for triadic closure in social contexts based on notions of trust, gossip, and social information spread. These factors are thus identified as potential significant influences on how humans form social ties.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0288142