Welcome to the Quantitative Network Science Group at DM3L!

The way components of biological, economic, or social systems are organized and interact with each other defines their functioning and dynamics. Network science is a mathematical framework that models these complex interaction patterns to understand and predict the behavior of complex systems. The Quantitative Network Science Group is focused on interdisciplinary approaches and the development of new mathematical tools to answer social, biological, and economic questions. Our main research interests include the study of social media and its impact on society, as well as the development of new methods to study networks and their dynamics.


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Team


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Teaching

 

News

2025

2025-04-11

We have several accepted contributions at NetSci2025. Come see our work if you are in Maastricht in June:

    • Yasaman Asgari: "Multiscale Temporal Node Assortativity in Feature-rich Temporal Networks" (Oral) and "From Revolution to Research: Interplay Between Funding, Migration, and Scholarly Attention post-Arab Spring" (Oral at the NetSciSci satellite).
    • Dorian Quelle: "Blue Skies, Red Lines: Mapping Political Debate Networks on Bluesky" (Poster) and "The Twitter/X-odus: Quantifying the forces behind the academic platform migration to Bluesky" (Oral at the NetSciSci satellite).
    • Yuan Zhang: "Quantifying the Spread of Online Incivility in Brazilian Politics" (Poster) and "More than 'Left and Right': Revealing Multilevel Online Political Selective Exposure" (Oral at the UNCSS satellite).
    • Samuel Koovely: "Entropy-Informed Dynamic Community Detection" (Oral).
    • Alexandre Bovet: Invited talk at the UNCSS satellite and "Flow Stability, a python package for dynamic community detection in temporal networks" (Oral at the NASCol satellite).

Two of our collaborations have also been accepted as oral presentations: "Political Polarization Patterns on Bluesky: Understanding Political Discussion in an Emerging Social Platform" by Ali Salloum and "Negative Ties Highlight Hidden Extremes in Social Media Polarization" by Shazia Ayn Babul.

2025-03-17

New paper on the prevalence and dynamics of multilingual misinformation through an analysis of 264,487 fact-checks spanning 95 languages. Lost in translation: using global fact-checks to measure multilingual misinformation prevalence, spread, and evolution in EPJ Data Science by Dorian Quelle, Calvin Yixiang Cheng, Alexandre Bovet, and Scott A. Hale.

2025-03-17

New preprint on our analysis of 25 million articles revealing the Arab Spring's Impact on Science through the Lens of Scholarly Attention, Funding, and Migration by Yasaman Asgari, Hongyu Zhou, Ozgur Kadir Ozer, Rezvaneh Rezapour, Mary Ellen Sloane and Alexandre Bovet.

2025-03-11

Our paper Effective Yet Ephemeral Propaganda Defense: There Needs to Be More than One-Shot Inoculation to Enhance Critical Thinking by Nicolas Hoferer, Kilian Sprenkamp, Dorian Christoph Quelle, Daniel Gordon Jones, Zoya Katashinskaya, Alexandre Bovet and Liudmila Zavolokina has been accepted as a late breaking work at the ACM-CHI 2025 conference. This paper is a result of our DIZH funding to create an AI-assisted propaganda detection tool.

2025-02-26

New paper on Bluesky's Network topology, polarization, and algorithmic curation in PLOS One by Dorian Quelle and Alexandre Bovet. Read the press release and Dorian's interview in El País.

2025-01-09

New preprint on analyzing online polarization in signed networks: Negative Ties Highlight Hidden Extremes in Social Media Polarization by Elena Candellone, Shazia'Ayn Babul, Özgür Togay, Alexandre Bovet and Javier Garcia-Bernardo.

2024

2024-12-17

New preprint on a novel machine learning method for link sign prediction: Graph Spring Neural ODEs for Link Sign Prediction Andrin Rehmann and Alexandre Bovet.

2024-10-25

New preprint on a novel method for Community detection on directed networks with missing edges Nicola Pedreschi, Renaud Lambiotte and Alexandre Bovet.

2024-08-30

Our group will give a keynote and three talks at the Complex Systems Conference 2024 in Exeter. Alexandre Bovet: keynote at the CSS@CCS satellite and talk at the FRIENDS satellite. Yasaman Asgari: talks at the CRAB satellite and the science of science session.

2024-08-07

New preprint on measuring multilevel online political selective exposure by Yuan Zhang, Laia Castro Herrero, Frank Esser and Alexandre Bovet.

2024-06-01

Our group will have three talks and one poster at the flagship conference of the Network Science Society, NetSci2024 at Quebec City in Canada. Samuel Koovely: Information-theoretic framework for the dynamics of temporal networks (talk at the temporal networks session). Yuan Zhang: Measuring Hierarchical Echo Chambers of Brazilian Political Communities (talk social networks session). Dorian Quelle: Birds of a Feather Block Each Other: Understanding Intra-Community Selective Avoidance (talk social networks). Nicola Pedreschi: Flow stability for community detection on weighted, directed networks with missing edges (poster).

2024-04-10

New paper on the role suspended Twitter accounts aligning with the Internet Research Agency misinformation campaign to influence the 2016 US election in EPJ Data Science by Matteo Serafino, Zhenkun Zhou, José S. Andrade Jr., Alexandre Bovet, and Hernán A. Makse.

2024-02-07

New paper on the perils and promises of fact-checking with large language models in Frontiers in Artificial Intelligence by Dorian Quelle and Alexandre Bovet. Check the news coverage in Le Soleil (CA).

 

Older news is available here.