Population-scale social network analysis
Organized Session at the 6th European Conference on Social Networks
University of Greenwich, London
12-16th September 2022

Abstract deadline: 8th May 2022
Notification of acceptance: 6th June 2022

Population-scale social network analysis

In this session, we welcome contributions on how population-scale social network research can contribute to better understanding impactful societal phenomena and problems including, but not limited to the relevant topics listed below. We also welcome methodological contributions with relevance to population-scale social network analysis, such as methods for tie prediction from affiliation data and network metrics suited for network ties identified in this way.

Population-scale Social Network analysis is on the rise since recent technological advances made it possible to utilize administrative registers for academic research purposes that derive social ties between people based on e.g., family, neighborhood, school, or workplace affiliation data. These registers, or other social networks collected at scale in an automated fashion, are rich and valuable resources for population-scale social network analysis. However, social ties defined by registers are fundamentally different from online social ties or communication ties, or oftentimes, the scale of the data in itself might present various methodological problems. We welcome contributions that speak to this theme. 

Relevant topics

  • Agent-based models
  • Anonymity in networks
  • Community detection
  • Economic growth
  • Epidemic spreading
  • Family networks
  • Inequality
  • Kinship networks
  • Knowledge diffusion
  • Labor mobility
  • Large-scale network analysis
  • Network backbones
  • Opinion dynamics
  • Segregation
  • Social capital
  • Social mobility

Contribution and submission

In line with the EUSN conference requirements, abstracts are limited to 500 words, not including the title, and should not contain references. Presentations will be allocated 15 minutes plus 5 minutes for discussion.

Authors will need a free CMT account to log in and submit their plain-text proposals at the conference submission website.

Session Organizers

  • Eszter Bokányi (University of Amsterdam)
  • Guilherme Kenji Chihaya  (Umea University)
  • Eelke Heemskerk (University of Amsterdam)
  • László Lőrincz (Corvinus University)
  • Frank Takes (Leiden University)


Do you have questions about this session or the fit of your work? Please feel very welcome to reach out to Eszter Bokányi, e.bokanyi@uva.nl