New Project on Anonymity in Networks

Posted on October 15, 2021December 2, 2021 by frank

How anonymous is an individual in a social network, based on the structural position of this person in a network, as well as the person’s descriptive attributes? That’s the central question studied in the ANO-NET project, which runs from 2021 to 2025 and is jointly funded by Statistics Netherlands (CBS) and the Population-scale Social Network Analysis (POPNET) platform.

ABOUT ME
I am an associate professor at LIACS, the computer science and AI department of Faculty of Science of Leiden University. My research interest is in network science, in particular methods and algorithms for analyzing (social) network data, with applications in economics, science studies and computational social science.

Currently, I am 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 board member (former chair) of the Dutch Network Science Society. I am director of education of the LIACS bachelor programmes Informatica (Computer Science) and Data Science & Artificial Intelligence. I teach courses on competitive programming and social network analysis.

Frank Takes Follow

Associate Professor & Director of Education @LIACS @UniLeiden ▪︎ Co-Director @POPNET_research ▪︎ Co-Chair @NetSciNL ▪︎ Network Science ▪︎ Algorithms ▪︎ SNA

Retweet on Twitter Frank Takes Retweeted

Leiden Network Science @funwithnetworks ·

22 Oct

🔥🔥🔥
Great to see five @funwithnetworks collegues @bokanyie, @cerialbo, R. De Jong, E de Vink, and @yuliia_kazmina presenting their contributions at the @NetSciNL symposium last friday!

Reply on Twitter 1848778251700998513 Retweet on Twitter 1848778251700998513 2 Like on Twitter 1848778251700998513 3 Twitter 1848778251700998513

Frank Takes @franktakes ·

23 Aug

Little over a week left to apply for the 2 open PhD positions in my @LIACS Network Science research group (one related to next steps in @popnet_research, the other is with @saxena_akrati on Algorithmic Fairness in Social Network Analysis). Job details: https://computationalnetworkscience.org/job-opening-phd-in-network-science-4-years-fully-funded

Reply on Twitter 1827035458754236926 Retweet on Twitter 1827035458754236926 10 Like on Twitter 1827035458754236926 16 Twitter 1827035458754236926

Retweet on Twitter Frank Takes Retweeted

Leiden Network Science @funwithnetworks ·

31 Jul

As part of the "Politie & Wetenschap" project on Crime in Dark Web Forum Networks, we made a movie to go together with our new paper: https://www.nature.com/articles/s41598-024-67115-5. The @UniLeiden article: https://www.universiteitleiden.nl/en/news/2024/07/leiden-researchers-predict-seller-success-on-dark-web-markets

Reply on Twitter 1818609288685682874 Retweet on Twitter 1818609288685682874 1 Like on Twitter 1818609288685682874 2 Twitter 1818609288685682874

Retweet on Twitter Frank Takes Retweeted

Shane Mannion @shane_e_m ·

23 Jan

A preprint of our latest paper "Fast degree-preserving rewiring of complex networks" with @PadraigMacC @saxena_akrati and @franktakes is now available here . Thanks to my co-authors for all of the hard work involved!

Reply on Twitter 1749780677392732443 Retweet on Twitter 1749780677392732443 3 Like on Twitter 1749780677392732443 4 Twitter 1749780677392732443