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Leiden Computational Network Science Lab

Network science research lab 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 Lab

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

 

 

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