Religious Exiting and Social Networks: Computer Simulations of Religious/Secular Pluralism

Statistical models attempting to predict who will disaffiliate from religions have typically accounted for less than 15% of the variation in religious affiliations, suggesting that we have only a partial understanding of this vital social process. Using agent-based simulations in three “artificial s...

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Main Authors: Ryan Cragun, Kevin McCaffree, Ivan Puga-Gonzalez, Wesley Wildman, F. LeRon Shults
Format: Article
Language:English
Published: Ubiquity Press 2021-03-01
Series:Secularism and Nonreligion
Online Access:https://www.secularismandnonreligion.org/articles/129
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spelling doaj-f0bd426a90a7426e8627cc58c871104e2021-04-27T07:23:25ZengUbiquity PressSecularism and Nonreligion2053-67122021-03-0110110.5334/snr.12993Religious Exiting and Social Networks: Computer Simulations of Religious/Secular PluralismRyan Cragun0Kevin McCaffree1Ivan Puga-Gonzalez2Wesley Wildman3F. LeRon Shults4University of TampaUniversity of North TexasUniversity of AgderBoston UniversityUniversity of AgderStatistical models attempting to predict who will disaffiliate from religions have typically accounted for less than 15% of the variation in religious affiliations, suggesting that we have only a partial understanding of this vital social process. Using agent-based simulations in three “artificial societies” (one predominantly religious; one predominantly secular; and one in between), we demonstrate that worldview pluralism within one’s neighborhood and family social networks can be a significant predictor of religious (dis)affiliation but in pluralistic societies worldview diversity is less important and, instead, people move toward worldview neutrality. Our results suggest that there may be two phases in religious disaffiliation: (1) the early adopters initially disaffiliate regardless of social support, and subsequently (2) disaffiliation spreads as support for it within local social networks widens and it appears more acceptable. An important next step is for sociologists to confirm or correct the theoretical findings of this model using real-world social-network data, which will require overcoming the measurement difficulties involved in estimating each individual’s degree of local network pluralism.https://www.secularismandnonreligion.org/articles/129
collection DOAJ
language English
format Article
sources DOAJ
author Ryan Cragun
Kevin McCaffree
Ivan Puga-Gonzalez
Wesley Wildman
F. LeRon Shults
spellingShingle Ryan Cragun
Kevin McCaffree
Ivan Puga-Gonzalez
Wesley Wildman
F. LeRon Shults
Religious Exiting and Social Networks: Computer Simulations of Religious/Secular Pluralism
Secularism and Nonreligion
author_facet Ryan Cragun
Kevin McCaffree
Ivan Puga-Gonzalez
Wesley Wildman
F. LeRon Shults
author_sort Ryan Cragun
title Religious Exiting and Social Networks: Computer Simulations of Religious/Secular Pluralism
title_short Religious Exiting and Social Networks: Computer Simulations of Religious/Secular Pluralism
title_full Religious Exiting and Social Networks: Computer Simulations of Religious/Secular Pluralism
title_fullStr Religious Exiting and Social Networks: Computer Simulations of Religious/Secular Pluralism
title_full_unstemmed Religious Exiting and Social Networks: Computer Simulations of Religious/Secular Pluralism
title_sort religious exiting and social networks: computer simulations of religious/secular pluralism
publisher Ubiquity Press
series Secularism and Nonreligion
issn 2053-6712
publishDate 2021-03-01
description Statistical models attempting to predict who will disaffiliate from religions have typically accounted for less than 15% of the variation in religious affiliations, suggesting that we have only a partial understanding of this vital social process. Using agent-based simulations in three “artificial societies” (one predominantly religious; one predominantly secular; and one in between), we demonstrate that worldview pluralism within one’s neighborhood and family social networks can be a significant predictor of religious (dis)affiliation but in pluralistic societies worldview diversity is less important and, instead, people move toward worldview neutrality. Our results suggest that there may be two phases in religious disaffiliation: (1) the early adopters initially disaffiliate regardless of social support, and subsequently (2) disaffiliation spreads as support for it within local social networks widens and it appears more acceptable. An important next step is for sociologists to confirm or correct the theoretical findings of this model using real-world social-network data, which will require overcoming the measurement difficulties involved in estimating each individual’s degree of local network pluralism.
url https://www.secularismandnonreligion.org/articles/129
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