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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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Autores principales: Kates-Harbeck, Julian, Nowak, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10446209/
https://www.ncbi.nlm.nih.gov/pubmed/37610996
http://dx.doi.org/10.1371/journal.pone.0288142
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author Kates-Harbeck, Julian
Nowak, Martin
author_facet Kates-Harbeck, Julian
Nowak, Martin
author_sort Kates-Harbeck, Julian
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description 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.
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spelling pubmed-104462092023-08-24 Trust based attachment Kates-Harbeck, Julian Nowak, Martin PLoS One Research Article 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. Public Library of Science 2023-08-23 /pmc/articles/PMC10446209/ /pubmed/37610996 http://dx.doi.org/10.1371/journal.pone.0288142 Text en © 2023 Kates-Harbeck, Nowak https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kates-Harbeck, Julian
Nowak, Martin
Trust based attachment
title Trust based attachment
title_full Trust based attachment
title_fullStr Trust based attachment
title_full_unstemmed Trust based attachment
title_short Trust based attachment
title_sort trust based attachment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10446209/
https://www.ncbi.nlm.nih.gov/pubmed/37610996
http://dx.doi.org/10.1371/journal.pone.0288142
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