@inproceedings{40f2d789c2e64272877920c9c00d9614,
title = "Social network interventions to prevent reciprocity-driven polarization",
abstract = "Complex networks and reputation systems are fundamental mechanisms to sustain cooperation in populations of self-regarding agents. These mechanisms are typically studied in isolation. In online social platforms, however, behavioral dynamics are likely to result from their combination. Here we investigate the relationship between social networks and reputation-based cooperation (in a Prisoner's Dilemma setting) in large populations. We develop a new evolutionary game-theoretical model and study dynamics in networks with varying degrees of community structure. We show that networks exhibiting modular structures hamper global cooperation: reputation-based group identities emerge in different communities and strategies that uniquely cooperate with in-group members fixate, sustaining polarization and group bias. Global cooperation is recovered provided that inter-community edges are added.",
keywords = "Complex networks, Cooperation, Evolutionary Game Theory, Indirect reciprocity, Polarization, Reputations, Social norms",
author = "Santos, {Fernando P.} and Santos, {Francisco C.} and Pacheco, {Jorge M.} and Levin, {Simon A.}",
note = "Publisher Copyright: {\textcopyright} 2021 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.; 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 ; Conference date: 03-05-2021 Through 07-05-2021",
year = "2021",
language = "English (US)",
series = "Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS",
publisher = "International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)",
pages = "1631--1633",
booktitle = "20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021",
}