New CNS Lab website

July 1, 2018 network science

This is the very first post on the new Leiden CNS Lab website. In the future, this website will be updated with news and information on upcoming events and activities.

Using network analysis to understand the role of software components

The Network Science group at Leiden University works on methods and algorithms for analyzing real-world (social) networks, with the aim of better understanding dynamic complex networks from a range of application domains, including online soclal networks, population-scale networks, scientific collaboration networks, critical infrastructure networks and economic networks. The 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 network science, complex networks and social network analysis; curated by @franktakes & Leiden Network Science group members

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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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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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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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Akrati Saxena @saxena_akrati ·

24 Jan 2025

🚨📢 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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