[Network Seminar] Frank Takes - Population-scale Social Network Analysis
chakresh.singh
Dear all,
We are excited to invite you to the next Network Seminar on 16th June 2pm-3pm CET with Frank Takes (Leiden University)
The seminar will be online. Please use this registration link for online attendance
More information on the event page: https://events.cri-paris.org/e/156/
Title: Population-scale Social Network Analysis
Abstract: This talk considers responsibly anonymized population-scale social network data on all 17 million inhabitants of the Netherlands. The data stems from country-wide administrative register data, and has the potential to shed new light on contemporary social scientific problems such as segregation, inequality, loneliness and poverty. The talk discusses how the formal links (family, household, work, school and neighbor ties) in this social network require one to critically rethink network science concepts such as the unit of analysis, measurement errors effects and the boundary specification problem. Moreover, it allows us to in a unique way revisit the well-known concept of closure and the small-world phenomenon in a population-scale social network context. The talk furthermore presents initial findings on the relation between the network structure and spatial distribution of the population.
Bio: Frank Takes is an associate professor at LIACS, the computer science and artificial intelligence department of Leiden University. His research interest is in network science, mainly dealing with methods and algorithms for knowledge discovery from (social) network data, covering applications in economics, science studies and computational social science. He supervises bachelor, master and PhD students, and teaches courses on competitive programming and social network analysis.
Currently, he is the head of the Leiden Computational Network Science research group, academic co-director of the Dutch POPNET research platform for population-scale social network analysis and co-chair of the Dutch Network Science Society
Best regards,
Chakresh, Liubov, Marc
More information on the network seminar: https://interactiondatalab.com/network-seminar/