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...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Ubiquity Press
2021-03-01
|
Series: | Secularism and Nonreligion |
Online Access: | https://www.secularismandnonreligion.org/articles/129 |
id |
doaj-f0bd426a90a7426e8627cc58c871104e |
---|---|
record_format |
Article |
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 |
work_keys_str_mv |
AT ryancragun religiousexitingandsocialnetworkscomputersimulationsofreligioussecularpluralism AT kevinmccaffree religiousexitingandsocialnetworkscomputersimulationsofreligioussecularpluralism AT ivanpugagonzalez religiousexitingandsocialnetworkscomputersimulationsofreligioussecularpluralism AT wesleywildman religiousexitingandsocialnetworkscomputersimulationsofreligioussecularpluralism AT fleronshults religiousexitingandsocialnetworkscomputersimulationsofreligioussecularpluralism |
_version_ |
1721506144684343296 |