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Leiden Computational Network Science

Network science research group at Leiden University

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Find us at the Sunbelt 2024 conference in Edinburgh

June 22, 2024 network science

At the 44th INSNA International Conference on Social Network Analysis (Sunbelt) in Edinburgh, Scotland UK, held from June 24 to June 30, 2024, several people affiliated with the POPNET project on Population-scale Social Network Analysis as well as the Leiden Computational Network Science (CNS) group, will give talks. An overview can be found below:

  • Social Network Determinants of Economic Prosperity in a Longitudinal Population-scale Social Network
    Wednesday June 26, 2:50 PM – 3:10 PM, Speaker: Yuliia Kazmina
    OS-3: Social Capital
  • Is Social Capital Good for you?
    Wednesday June 26, 3:10 PM – 3:30 PM, Speaker: Eelke Heemskerk, Frank Takes
    OS-3: Social Capital
  • Parenthood status of siblings, half-siblings and cousins and entry into parenthood. A horizontal kinship network approach (POPNET project)
    Thursday June 27, 8:30 AM – 8:50 AM, Speaker: Vera de Bel
    OS-45: Family Networks & Personal Networks through the Life Course I
  • Large and small-scale dynamics of a longitudinal population-scale social network
    Thursday June 27 11:20 AM – 11:40 AM, Speaker: Eszter Bokányi
    OS-46: Family Networks & Personal Networks through the Life Course II
  • Contacts in contexts: A population-scale social network approach to the study of close intergroup social ties (POPNET project)
    Friday June 28, 2024, 5:30 PM – 7:00 PM, Presenter: Nicolas Soler
    JWC2 Lounge Poster session
  • Revolutionizing Brain Science through Policy-Driven Change: A Case Study of the Human Brain Project
    Saturday June 29, 8:50 AM – 9:10 AM, Speaker: Dominika Czerniawska
    OS-102: Scientific Collaboration Networks: data, methods, and empirical applications I
  • Connectivity and Community Structure of Online and Register-based Social Networks
    Saturday June 29, 3:00 PM – 3:20 PM, Speaker: Márton Menyhért
    OS-128: Network clustering and validation: methods and applications II

Three Regular Talks accepted at NetSci-X 2024

Two open PhD positions in Network Science / Social Network Analysis & Fairness

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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Retweet on Twitter Leiden Network Science Retweeted
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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