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The casual effect of relational mobility on integration of social networks: An agent-based modeling approach

Despite converging evidence for the importance of relational mobility on shaping people’s social experiences, previous work suggested mixed findings for its influence on the structure of sociocentric networks, which lays the basis for the development of all types of social relationships. Additionall...

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Detalles Bibliográficos
Autores principales: Li, Liman Man Wai, Wang, Shengyuan, Lin, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170874/
https://www.ncbi.nlm.nih.gov/pubmed/35693837
http://dx.doi.org/10.1007/s12144-022-03130-x
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author Li, Liman Man Wai
Wang, Shengyuan
Lin, Ying
author_facet Li, Liman Man Wai
Wang, Shengyuan
Lin, Ying
author_sort Li, Liman Man Wai
collection PubMed
description Despite converging evidence for the importance of relational mobility on shaping people’s social experiences, previous work suggested mixed findings for its influence on the structure of sociocentric networks, which lays the basis for the development of all types of social relationships. Additionally, as it is timely and economically intractable to administer such longitudinal experiments in real-life settings, most previous work mainly relied on cross-sectional correlation analyses and provided limited causal evidence. The current research used an agent-based modeling approach to examine whether higher relational mobility (i.e., the number of opportunities to meet new people) would promote integration among social networks over time. Using parameters derived from survey data, we simulated how the integration of sociocentric social networks evolves under different levels of relational mobility. Based on the data of three network structural indicators, including modularity, global efficiency, and standard deviation of nodal betweenness, we obtained causal evidence supporting that higher relational mobility promotes greater network integration. These findings highlight the power of socioecological demands on our social experiences. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12144-022-03130-x.
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spelling pubmed-91708742022-06-08 The casual effect of relational mobility on integration of social networks: An agent-based modeling approach Li, Liman Man Wai Wang, Shengyuan Lin, Ying Curr Psychol Article Despite converging evidence for the importance of relational mobility on shaping people’s social experiences, previous work suggested mixed findings for its influence on the structure of sociocentric networks, which lays the basis for the development of all types of social relationships. Additionally, as it is timely and economically intractable to administer such longitudinal experiments in real-life settings, most previous work mainly relied on cross-sectional correlation analyses and provided limited causal evidence. The current research used an agent-based modeling approach to examine whether higher relational mobility (i.e., the number of opportunities to meet new people) would promote integration among social networks over time. Using parameters derived from survey data, we simulated how the integration of sociocentric social networks evolves under different levels of relational mobility. Based on the data of three network structural indicators, including modularity, global efficiency, and standard deviation of nodal betweenness, we obtained causal evidence supporting that higher relational mobility promotes greater network integration. These findings highlight the power of socioecological demands on our social experiences. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12144-022-03130-x. Springer US 2022-06-07 /pmc/articles/PMC9170874/ /pubmed/35693837 http://dx.doi.org/10.1007/s12144-022-03130-x Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Li, Liman Man Wai
Wang, Shengyuan
Lin, Ying
The casual effect of relational mobility on integration of social networks: An agent-based modeling approach
title The casual effect of relational mobility on integration of social networks: An agent-based modeling approach
title_full The casual effect of relational mobility on integration of social networks: An agent-based modeling approach
title_fullStr The casual effect of relational mobility on integration of social networks: An agent-based modeling approach
title_full_unstemmed The casual effect of relational mobility on integration of social networks: An agent-based modeling approach
title_short The casual effect of relational mobility on integration of social networks: An agent-based modeling approach
title_sort casual effect of relational mobility on integration of social networks: an agent-based modeling approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170874/
https://www.ncbi.nlm.nih.gov/pubmed/35693837
http://dx.doi.org/10.1007/s12144-022-03130-x
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