Alberto Ceria starts as a Postdoc in CNS group

Alberto Ceria focuses on combining data science and statistical physics methods to study complex interconnected systems, such as social interactions among individuals. His main research focus is characterizing and modeling systems with time-varying and/or group interactions among their constituents, such as academic collaborations and social gatherings, to better understand their underlying…

Hanshu Yu starts as PhD candidate

Hanshu Yu is a PhD student in the Computational Network Science Lab. His main research interest is in the field of network science, particularly in multi-disciplinary topics. His research focuses on algorithmic fairness in social networks. In his free time he likes to cook, play soccer and go hiking.

Vacancy: Postdoctoral Researcher (3 years) in Network Science

The network science group of LIACS, Leiden University is looking for a new postdoc. The advertised position is for 3 years, and offers freedom in terms of which network science topic will be worked on by the candidate. Interested, but not sure if you should apply? Feel very welcome to…

Leiden CNS group at Netsci 2023

Several members of the Leiden Computational Network Science group are present at the 2023 edition of NetSci, the International School and Conference on Network Science, which takes place 10-14 July 2023 in Vienna, Austria. Precise dates and times of our presentations will be announced below in due time as the…

Leiden CNS at Sunbelt 2023

Our group is present at the International Network for Social Network Analysis (INSNA) Sunbelt conference from June 27 to July 1 in Portland, Oregon. Speakers include the following Leiden Computational Network Science group members and affiliates from, e.g., the POPNET project and elsewhere within LIACS:

Dr. Akrati Saxena starts as an Asst. Prof.

Akrati Saxena joins as an Assistant Professor in the Computational Network Science group at LIACS. She has worked extensively on Network Science and Data Science. Currently, she is setting up a special interest group on Fairness in Network Science and Data Science, which mainly focuses on analyzing biases in existing…