Title: Dissonance Minimization and Conversation in Social Networks
Abstract: Download This Paper Open PDF in Browser Add Paper to My Library Share: Permalink Using these links will ensure access to this page indefinitely Copy URL Dissonance Minimization and Conversation in Social Networks 45 Pages Posted: 8 Sep 2022 See all articles by Mikhail AnufrievMikhail AnufrievUniversity of Technology Sydney (UTS)Kirill BorissovEuropean University at St. Petersburg (EUSP)Mikhail PakhninEuropean University at St. Petersburg, Department of Economics There are 3 versions of this paper Dissonance Minimization and Conversation in Social Networks CESifo Working Paper No. 9433 Number of pages: 48 Posted: 30 Nov 2021 Downloads 18 Dissonance Minimization and Conversation in Social Networks Number of pages: 46 Posted: 21 Dec 2021 Downloads 9 Dissonance Minimization and Conversation in Social Networks Number of pages: 45 Posted: 08 Sep 2022 You are currently viewing this paper Abstract We study a model of social learning in networks where the dynamics of beliefs are driven by conversations of dissonance-minimizing agents. Given their current beliefs, agents make statements, tune them to the statements of their associates, and then revise their beliefs. We characterize the long-run beliefs in a society, provide the necessary and sufficient conditions for a society to reach a consensus, and show that agents' social influences (weights on the consensus belief) are decreasing in their dissonance sensitivities. Comparing the outcomes of two models, with and without conversation, we show that conversation leads to a redistribution of social influences in favor of agents with higher self-confidence. Finally, we provide analytical insights for the model where agents minimize dissonance by revising both beliefs and network, and show that an endogenous change of network may prevent a society from reaching a consensus. Keywords: social networks, DeGroot learning, Social influence, Dissonance minimization, Conversation Suggested Citation: Suggested Citation Anufriev, Mikhail and Borissov, Kirill and Pakhnin, Mikhail, Dissonance Minimization and Conversation in Social Networks. Available at SSRN: https://ssrn.com/abstract=4213302 Mikhail Anufriev (Contact Author) University of Technology Sydney (UTS) ( email ) P. O. Box 123Broadway, NSW 2007Australia Kirill Borissov European University at St. Petersburg (EUSP) ( email ) 3 Gagarinskaya StreetSt. Petersburg, 191187Russia Mikhail Pakhnin European University at St. Petersburg, Department of Economics ( email ) 6/1A Gagarinskaya StreetSt. Petersburg, 191187Russia HOME PAGE: http://eusp.org/en/people/pakhnin Download This Paper Open PDF in Browser Do you have a job opening that you would like to promote on SSRN? Place Job Opening Paper statistics Downloads 0 Abstract Views 5 PlumX Metrics Feedback Feedback to SSRN Feedback (required) Email (required) Submit If you need immediate assistance, call 877-SSRNHelp (877 777 6435) in the United States, or +1 212 448 2500 outside of the United States, 8:30AM to 6:00PM U.S. Eastern, Monday - Friday. Submit a Paper Section 508 Text Only Pages SSRN Quick Links SSRN Solutions Research Paper Series Conference Papers Partners in Publishing Jobs & Announcements Newsletter Sign Up SSRN Rankings Top Papers Top Authors Top Organizations About SSRN SSRN Objectives Network Directors Presidential Letter Announcements Contact us FAQs Copyright Terms and Conditions Privacy Policy We use cookies to help provide and enhance our service and tailor content. To learn more, visit Cookie Settings. This page was processed by aws-apollo-5dc in 0.234 seconds