{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T15:01:38Z","timestamp":1775228498367,"version":"3.50.1"},"reference-count":37,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2023,2,8]],"date-time":"2023-02-08T00:00:00Z","timestamp":1675814400000},"content-version":"vor","delay-in-days":40,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1922952"],"award-info":[{"award-number":["1922952"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Algorithms for Threat Detection"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,30]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Individuals who interact with each other in social networks often exchange ideas and influence each other\u2019s opinions. A popular approach to study the spread of opinions on networks is by examining bounded-confidence models (BCMs), in which the nodes of a network have continuous-valued states that encode their opinions and are receptive to other nodes\u2019 opinions when they lie within some confidence bound of their own opinion. In this article, we extend the Deffuant\u2013Weisbuch (DW) model, which is a well-known BCM, by examining the spread of opinions that coevolve with network structure. We propose an adaptive variant of the DW model in which the nodes of a network can (1) alter their opinions when they interact with neighbouring nodes and (2) break connections with neighbours based on an opinion tolerance threshold and then form new connections following the principle of homophily. This opinion tolerance threshold determines whether or not the opinions of adjacent nodes are sufficiently different to be viewed as \u2018discordant\u2019. Using numerical simulations, we find that our adaptive DW model requires a larger confidence bound than a baseline DW model for the nodes of a network to achieve a consensus opinion. In one region of parameter space, we observe \u2018pseudo-consensus\u2019 steady states, in which there exist multiple subclusters of an opinion cluster with opinions that differ from each other by a small amount. In our simulations, we also examine the roles of early-time dynamics and nodes with initially moderate opinions for achieving consensus. Additionally, we explore the effects of coevolution on the convergence time of our BCM.<\/jats:p>","DOI":"10.1093\/comnet\/cnac055","type":"journal-article","created":{"date-parts":[[2023,2,8]],"date-time":"2023-02-08T13:01:17Z","timestamp":1675861277000},"source":"Crossref","is-referenced-by-count":20,"title":["An adaptive bounded-confidence model of opinion dynamics on networks"],"prefix":"10.1093","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6215-4406","authenticated-orcid":false,"given":"Unchitta","family":"Kan","sequence":"first","affiliation":[{"name":"Department of Computational and Data Sciences, George Mason University , 4400 University Drive, Fairfax, VA 22030, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5048-6430","authenticated-orcid":false,"given":"Michelle","family":"Feng","sequence":"additional","affiliation":[{"name":"Department of Computing + Mathematical Sciences, California Institute of Technology , 1200 E. California Blvd., MC 305-16, Pasadena, CA 91125-2100, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5166-0717","authenticated-orcid":false,"given":"Mason A","family":"Porter","sequence":"additional","affiliation":[{"name":"Department of Mathematics, University of California, Los Angeles, Mathematical Sciences Building , 520 Portola Plaza, Box 951555, Los Angeles, CA 90095, USA and Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA"}]}],"member":"286","published-online":{"date-parts":[[2023,2,8]]},"reference":[{"key":"2023020812513091600_B1","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1146\/annurev.soc.27.1.415","article-title":"Birds of a feather: Homophily in social networks","volume":"27","author":"McPherson,","year":"2001","journal-title":"Ann. Rev. 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