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Leiden Computational Network Science

Network science research group at Leiden University

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Hanjo Boekhout starts as PhD candidate

August 19, 2020 network science

Hanjo Boekhout MSc started as a PhD candidate in the Computational Network Science group in August of 2020. Both his Bachelor’s and Master’s degree in Computer Science, with a specialization in “Computer Science and Advanced Data Analytics”, were obtained with honor (cum laude) at Leiden University. During his Master’s studies, Hanjo focused on extending and applying algorithms for counting motifs, small subgraphs of a few nodes and edges, in multilayer temporal networks. For his Master thesis, he applied these algorithms to scientific collaboration, i.e., co-authorship, networks in order to identify typical (international) collaboration and mobility behaviours in the various scientific fields and countries. Hanjo has also worked at the Centre for Science and Technology studies (CWTS) at Leiden University, researching gender differences in scientific careers from a global, national and field-specific perspective.

As a PhD candidate in the CNS group, Hanjo will study temporal networks, looking, for example, at node and edge centrality. Furthermore, he will contribute to various applied network science projects related to online crime patterns on the dark web, scientific collaboration and citation networks.

Carolina Mattsson starts as postdoc

Leiden CNS @ Networks 2021

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
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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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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funwithnetworks 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!

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funwithnetworks Leiden Network Science @funwithnetworks ·
9 Oct

🚨 New publication alert! 🚨
Excited to share our latest paper: "Sociopolitical evolution, population clustering, and technology among early sedentary communities in northeastern #Andes, #Colombia" by S. Fajardo and P. Argüello

Read it here 👇
🔗 https://www.sciencedirect.com/science/article/pii/S027841652400059X
#muisca

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