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 "artific...

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Bibliographic Details
Published in:Secularism and Nonreligion
Authors: Cragun, Ryan T. (Author) ; Wildman, Wesley J. 1961- (Author) ; Shults, Fount LeRon 1965- (Author) ; McCaffree, Kevin J. 1985- (Author) ; Puga-Gonzalez, Ivan (Author)
Format: Electronic Article
Language:English
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Published: [publisher not identified] [2021]
In: Secularism and Nonreligion
Standardized Subjects / Keyword chains:B Social network / Religious education / Religious pluralism / Irreligiosity
RelBib Classification:AB Philosophy of religion; criticism of religion; atheism
AD Sociology of religion; religious policy
AX Inter-religious relations
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Summary: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.
ISSN:2053-6712
Contains:Enthalten in: Secularism and Nonreligion
Persistent identifiers:DOI: 10.5334/snr.129