| Literature DB >> 31253070 |
Michael Muthukrishna1, Mark Schaller2.
Abstract
Societies differ in susceptibility to social influence and in the social network structure through which individuals influence each other. What implications might these cultural differences have for changes in cultural norms over time? Using parameters informed by empirical evidence, we computationally modeled these cross-cultural differences to predict two forms of cultural change: consolidation of opinion majorities into stronger majorities, and the spread of initially unpopular beliefs. Results obtained from more than 300,000 computer simulations showed that in populations characterized by greater susceptibility to social influence, there was more rapid consolidation of majority opinion and also more successful spread of initially unpopular beliefs. Initially unpopular beliefs also spread more readily in populations characterized by less densely connected social networks. These computational outputs highlight the value of computational modeling methods as a means to specify hypotheses about specific ways in which cross-cultural differences may have long-term consequences for cultural stability and cultural change.Keywords: computational modeling; conformity; cultural change; cultural differences; cultural evolution; dynamical systems; minority influence; social influence; social networks
Mesh:
Year: 2019 PMID: 31253070 DOI: 10.1177/1088868319855783
Source DB: PubMed Journal: Pers Soc Psychol Rev ISSN: 1532-7957