Evolution of honesty in higher-order social networks

Article


Kumar, A., Chowdhary, S., Capraro, V. and Perc, M. 2021. Evolution of honesty in higher-order social networks. Physical Review E. 104 (5-1). https://doi.org/10.1103/PhysRevE.104.054308
TypeArticle
TitleEvolution of honesty in higher-order social networks
AuthorsKumar, A., Chowdhary, S., Capraro, V. and Perc, M.
Abstract

Sender-receiver games are simple models of information transmission that provide a formalism to study the evolution of honest signaling and deception between a sender and a receiver. In many practical scenarios, lies often affect groups of receivers, which inevitably entangles the payoffs of individuals to the payoffs of other agents in their group, and this makes the formalism of pairwise sender-receiver games inapt for where it might be useful the most. We therefore introduce group interactions among receivers and study how their interconnectedness in higher-order social networks affects the evolution of lying. We observe a number of counterintuitive results that are rooted in the complexity of the underlying evolutionary dynamics, which has thus far remained hidden in the realm of pairwise interactions. We find conditions for honesty to persist even when there is a temptation to lie, and we observe the prevalence of moral strategy profiles even when lies favor the receiver at a cost to the sender. We confirm the robustness of our results by further performing simulations on hypergraphs created from real-world data using the SocioPatterns database. Altogether, our results provide persuasive evidence that moral behavior may evolve on higher-order social networks, at least as long as individuals interact in groups that are small compared to the size of the network.

PublisherAmerican Physical Society
JournalPhysical Review E
ISSN2470-0045
Electronic2470-0053
Publication dates
Online24 Nov 2021
Print30 Nov 2021
Publication process dates
Deposited07 Jan 2022
Accepted03 Nov 2021
Output statusPublished
Accepted author manuscript
Copyright Statement

The Final accepted version (with author's formatting) file reproduced here is from https://arxiv.org/abs/2111.12804v2 where it is posted under a Creative Commons Attribution license http://creativecommons.org/licenses/by/4.0/
The accepted manuscript is archived as permitted by the publisher's policy

Digital Object Identifier (DOI)https://doi.org/10.1103/PhysRevE.104.054308
LanguageEnglish
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