Who’s in your extended network? Analysing the size and homogeneity of acquaintanceship networks in the Netherlands

This study advances the understanding of the size and homogeneity of personal networks, focusing on extended networks that encompass both core discussion ties and the broader array of acquaintances. While previous research has primarily examined these dimensions within small, strong-tie networks, knowledge about extended networks remains limited. Using data from the Dutch Network Size Survey (2021), a representative survey of the Dutch adult population, this study provides novel insights into the size, gender, and educational homogeneity of extended networks, as well as individual variation across these dimensions. Employing the Network Scale-Up Method (NSUM) with an extensive set of scale-up items, we find a median extended network size of 446 and a mean size of 518. Substantial variation exists across individuals, with larger networks associated with being employed, having more household members, being younger, possessing greater resources (e.g., income, wealth), and attaining higher levels of education. Additionally, our findings reveal significant gender and educational segregation within extended networks. These results shed light on the structure of extended networks and highlight the social stratification of network size and homogeneity. • The scale-up method with an exceptionally large number of items reveals extended networks of residents in the Netherlands, • in particular, having a job and living in a large household matter for acquaintance networks, while • the influence of other background characteristics on network size is not strong and • extended networks are segregated according to gender and education, similar to the core networks as previously shown.

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Publication Details

Journal
Social Networks
Published
2025-06-27
DOI
https://doi.org/10.1016/j.socnet.2025.05.007
Citations
3
Primary Topic
Social Capital and Networks
Type
article
Field-Weighted Citation Impact
12.60
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article

Who’s in your extended network? Analysing the size and homogeneity of acquaintanceship networks in the Netherlands

Beate Völker, Frank van Tubergen, Rense Corten, Bas Hofstra
3 citations
Social Networks
Social Capital and Networks
12.60
article

Who’s in your extended network? Analysing the size and homogeneity of acquaintanceship networks in the Netherlands

Beate Völker, Frank van Tubergen, Rense Corten, Bas Hofstra
article en
3 citations

Abstract

This study advances the understanding of the size and homogeneity of personal networks, focusing on extended networks that encompass both core discussion ties and the broader array of acquaintances. While previous research has primarily examined these dimensions within small, strong-tie networks, knowledge about extended networks remains limited. Using data from the Dutch Network Size Survey (2021), a representative survey of the Dutch adult population, this study provides novel insights into the size, gender, and educational homogeneity of extended networks, as well as individual variation across these dimensions. Employing the Network Scale-Up Method (NSUM) with an extensive set of scale-up items, we find a median extended network size of 446 and a mean size of 518. Substantial variation exists across individuals, with larger networks associated with being employed, having more household members, being younger, possessing greater resources (e.g., income, wealth), and attaining higher levels of education. Additionally, our findings reveal significant gender and educational segregation within extended networks. These results shed light on the structure of extended networks and highlight the social stratification of network size and homogeneity. • The scale-up method with an exceptionally large number of items reveals extended networks of residents in the Netherlands, • in particular, having a job and living in a large household matter for acquaintance networks, while • the influence of other background characteristics on network size is not strong and • extended networks are segregated according to gender and education, similar to the core networks as previously shown.

Social NetworksVol. 83
Radboud University Nijmegen (NL), University of Groningen (NL), Utrecht University (NL), Netherlands Institute for the Study of Crime and Law Enforcement (NL), Netherlands Interdisciplinary Demographic Institute (NL)
Reduced inequalities
Openalex Percentile: Top 2%
Social Capital and Networks
12.60
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