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Leiden Computational Network Science

Network science research group at Leiden University

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Leiden Network Science group at Netsci 2025 in Maastricht

May 16, 2025 network science

Many members and affiliates of the group are present at the 2025 International Conference of the Network Science Society, from June 2nd to 6th in Maastricht, the Netherlands. Below is an overview of our oral talks and poster presentations:

  • Gamal Adel: Community Structure Dynamics in a Population-Scale Multilayer Social Network. Contributed talk at the TENET Sattelite on Monday from 15:15 – 15:30 
  • Fabrizio Corriera: Fairness in Community Detection. Lightening talk at the FairNetSci Satellite on Tuesday from 11:50 – 12:00
  • Alberto Ceria: Higher-order temporal network prediction and interpretation. Lightning Talk at the Higher-Order Network Science (HONS) sattelite on Tuesday from 15:20 – 15:40.
  • Frank Takes: Connectivity and Community Structure of Online and Register-based Social Networks. Lightning talk on Wednesday from 9:45 – 10:30
  • Alberto Ceria: The relevance of higher-order ties. Contributed oral talk in parallel session on “in “Higher order networks 1” on Wednesday from 11:00 – 13:00
  • Eszter Bokanyi: Mobility and cohesion of personal networks over the lifecourse of an entire population. Contributed oral talk in parallel session “Mobiity and spatial networks 1” on Wednesday from 14:30 – 16:00
  • Shane Mannion: Fast degree-preserving rewiring of complex networks. Poster presentation on Wednesday
  • Akrati Saxena: Group Fairness Metrics for Community Detection Methods in Social Networks. Poster presentation on on Wednesday
  • Rachel de Jong: Navigating the privacy vs. utility trade-off in network anonymization. Contributed oral talk in parallel session “Algorithms, Measures and Statistics” on Thursday from 14:30 – 16:00
  • Yuliia Kazmina: Pathways to Upward Mobility in a Longitudinal Population-scale Social Network. Poster presentation on Thursday

We at the NetSciX 2025 conference in Indore, India

Job opening: PhD Candidate in AI for Network Analysis

About the CNS Group

The Leiden Computational Network Science (CNS) group is a research group working on methods and algorithms for analyzing  real-world (social) network data. We develop techniques to unveil patterns in dynamic complex networks from a range of application domains, including online soclal networks, population-scale networks, scientific collaboration networks and economic networks. The CNS group is lead by Frank Takes and hosted at LIACS, the Department of Computer Science and AI of Leiden University.

 

 

Leiden Network Science Follow

News & updates about (computational) network science, complex networks and social network analysis; curated by @franktakes & Leiden group members

funwithnetworks
Retweet on Twitter Leiden Network Science Retweeted
planet_nl Platform for Large-scale Analysis of Networks @planet_nl ·
4 Nov

We’re pleased to (re)introduce the PLANET-NL group, formerly POPNET.
Our researchers are continuing to collaborate to provide expertise, tools, and opportunities for large-scale social network analysis.
Be ready to get to know more about us in the coming days!

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funwithnetworks Leiden Network Science @funwithnetworks ·
26 May

📢📢📢Join us for the Algorithmic Fairness in Network Science Satellite at @NetSci2025 on Tuesday 3 June. Details and schedule available at https://fairnetsci.github.io
#netsci #fairness

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funwithnetworks Leiden Network Science @funwithnetworks ·
26 May

Exciting times! Many members of CNS are going to present their research at @NetSci2025! Here you can find the complete schedule.
See you there in a week! 🔥🔥🔥

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saxena_akrati Akrati Saxena @saxena_akrati ·
24 Jan

🚨📢 Call for Abstracts! 📢🚨

Join us for the Algorithmic Fairness in Network Science Satellite at NetSci25

💡Submit your abstract and be part of this exciting conversation!

👉Details: https://fairnetsci.github.io/

📅 Deadline: February 7, 2025

#Callforabstract #netsci #fairness

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