Hackathon about anonymity in data was a great success

How anonymous is an individual in a social network dataset? That was the main subject of the hackathon organized by POPNET and Statistics Netherlands (CBS) on May 3 at Leiden University. By looking at openly available data on the internet, students had to derive the social network of several volunteers. The results give insight into what network data can be derived from public data, and therefore to what extent people in networks are really anonymous.

Research Colloquium on Business Informatics

As part of the Research Colloquium on Information Systems and Data Science of the Institute of Information Systems of Leuphana University Lüneburg, co-director Frank Takes will speak on “Population-scale Social Network Analysis” via Zoom.

How anonymous are you?!

Hackaton ‘From Person to Open Data’, organized by the Anonymity in Complex Networks project (ANO-NET), the Methodology department of Statistics Netherlands (CBS), the Population-scale Social Network Analysis (POPNET) project of the University of Amsterdam and Leiden University and the Computational Network Science (CNS) research group of Leiden University.