The unstable social networks of students: Where does dissimilarity drive tie dissolution?

Abstract Social relations between demographically dissimilar people are less likely to last. But up till now, why relations with dissimilar friends, confidants, or even sport partners are less stable has remained unclear. We argue that the faster dissolution of ties to dissimilar others may stem from their weaker embeddedness in our social networks. We may feel less emotionally close to those who differ from us in key social dimensions such as gender, age, and education, and these alters may fulfill fewer roles (e.g., friend and study partner, or ‘multiplexity’). Moreover, their dissimilarity may hinder their ability to form relations with others in our social network. In this contribution, we investigate the impact of ego‐alter dissimilarity on the stability of friendships, confidants, and study and sport relations, while acknowledging multiplexity—recognizing that the same alter may serve different roles. We find that ego‐alter age dissimilarity is associated with tie dissolution; relations are less stable and consistently so across emotional and instrumental network layers. Gender and education dissimilarity do not impact relationship stability among our sample of Dutch students. The better alters are embedded in ego's network, the more stable are their ties. Relational embeddedness (i.e., emotional closeness and role overlap) predominantly affects the stability of confidants and friendship relations; structural embeddedness (i.e., alters having ties to ego's other alters) predominantly affects the stability of study relations. This also explains why relations with differently aged alters are less stable.

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Publication Details

Journal
Sociological Forum
Published
2024-11-07
DOI
https://doi.org/10.1111/socf.13034
Citations
2
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.56

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article

The unstable social networks of students: Where does dissimilarity drive tie dissolution?

Rob Franken, Hidde Bekhuis, Jochem Tolsma
2 citations
Sociological Forum
Complex Network Analysis Techniques
0.56
article

The unstable social networks of students: Where does dissimilarity drive tie dissolution?

Rob Franken, Hidde Bekhuis, Jochem Tolsma
article en
2 citations

Abstract

Abstract Social relations between demographically dissimilar people are less likely to last. But up till now, why relations with dissimilar friends, confidants, or even sport partners are less stable has remained unclear. We argue that the faster dissolution of ties to dissimilar others may stem from their weaker embeddedness in our social networks. We may feel less emotionally close to those who differ from us in key social dimensions such as gender, age, and education, and these alters may fulfill fewer roles (e.g., friend and study partner, or ‘multiplexity’). Moreover, their dissimilarity may hinder their ability to form relations with others in our social network. In this contribution, we investigate the impact of ego‐alter dissimilarity on the stability of friendships, confidants, and study and sport relations, while acknowledging multiplexity—recognizing that the same alter may serve different roles. We find that ego‐alter age dissimilarity is associated with tie dissolution; relations are less stable and consistently so across emotional and instrumental network layers. Gender and education dissimilarity do not impact relationship stability among our sample of Dutch students. The better alters are embedded in ego's network, the more stable are their ties. Relational embeddedness (i.e., emotional closeness and role overlap) predominantly affects the stability of confidants and friendship relations; structural embeddedness (i.e., alters having ties to ego's other alters) predominantly affects the stability of study relations. This also explains why relations with differently aged alters are less stable.

Sociological ForumVol. 40(1)
Radboud University Nijmegen (NL), University of Groningen (NL), Utrecht University (NL)
University of Cambridge, University of Oxford, Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Openalex Percentile: Top 34%
Complex Network Analysis Techniques
0.56
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