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Anatomy of a Swedish population-scale network
Georgios Panayiotou1, Inga K Wohlert2, Miia Bask3
1InfoLab, Department of Information Technology, Uppsala University, Uppsala, Sweden. georgios.panayiotou@it.uu.se.
Scientific Reports
|August 19, 2025
Summary
Researchers built a large social network for Sweden using public data, revealing its structure across family, school, and work. Comparisons with the Netherlands show similar patterns, with differences attributed to population density.
Area of Science:
- Social Network Analysis
- Computational Social Science
- Sociology
Background:
- Growing interest in large-scale social network analysis.
- Expansion of research into nation-wide networks using administrative data.
Purpose of the Study:
- To construct and analyze a population-scale, multilayer social network for Sweden.
- To model the social opportunity structure across various social layers.
- To compare network characteristics with those of the Netherlands.
Main Methods:
- Utilized public register data from Sweden (2000-2017).
- Constructed a multilayer network encompassing approximately 8.3 million individuals (aged 15+).
- Analyzed network structure, connectivity patterns, degree distributions, and small-world properties.
Main Results:
- Developed a comprehensive social network representing Sweden's social structure.
- Identified broadly similar degree distributions and small-world characteristics when compared to the Netherlands.
- Observed discrepancies in network patterns, potentially linked to population density variations.
Conclusions:
- The study provides a detailed map of Sweden's social network structure.
- Cross-national comparisons highlight both universal and context-specific social network features.
- Population density emerges as a key factor influencing national social network characteristics.
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