ITU

NEtwoRks, Data, and Society

Organisational unit: Research Group

IT University of Copenhagen
Rued Langgaards Vej 7
DK-2300 Copenhagen S
Denmark

Contact information

Organisation profile

The NEtwoRks, Data, and Society (NERDS) group is researching network and data science applications to social systems. NERDS consists of interdisciplinary researchers who focus on quantitative projects at the boundary of network science, data science, and computational social science, including science of science, social networks and dynamics, multiplex networks, science of success, urban sustainability, human mobility, data visualization, and fundamental questions in complex systems.

  1. Published

    Multiplex Graph Association Rules for Link Prediction

    Coscia, M. & Szell, M., 7 Jun 2021, Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, ICWSM 2021. AAAI Press, p. 129-139

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

  2. Published

    Noise Corrected Sampling of Online Social Networks

    Coscia, M., 1 Mar 2021, In: ACM Transactions on Knowledge Discovery from Data. 15, 2, p. 1-21 21 p., 29.

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  3. Published

    Multimodal urban mobility and multilayer transport networks

    Alessandretti, L., Natera Orozco, L. G., Saberi, M., Szell, M. & Battiston, F., 19 Jul 2022, In: Environment and Planning B. 0, 0, p. 1-33 33 p., 0.

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  4. Published

    At the onset of an infodemic: Geographic and disciplinary boundaries in researching problematic COVID-19 information

    Righetti, N., Rossi, L. & Marino, G., 2022, In: First Monday. 27, 7

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  5. Published

    A potential mechanism for low tolerance feedback loops in social media flagging systems

    Westermann, C. J. & Coscia, M., 26 May 2022, In: PLOS ONE.

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  6. Published

    Identifying urban features for vulnerable road user safety in Europe

    Klanjcic, M., Gauvin, L., Tizzoni, M. & Szell, M., 28 Apr 2022, In: EPJ Data Science. 11, 27

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  7. Published

    Growing urban bicycle networks

    Szell, M., Mimar, S., Perlman, T., Ghoshal, G. & Sinatra, R., 26 Apr 2022, In: Scientific Reports. 12, 6765, 6765.

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  8. Published

    Generalized Euclidean Measure to Estimate Distances on Multilayer Networks

    Coscia, M., 4 Apr 2022, In: ACM Transactions on Knowledge Discovery from Data.

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  9. Published

    Automated Detection of Missing Links in Bicycle Networks

    Vybornova, A., Cunha, T. O., Gühnemann, A. & Szell, M., 21 Mar 2022, In: Geographical Analysis.

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

  10. Published

    Measuring Violence: A Computational Analysis of Violence and Propagation of Image Tweets From Political Protest

    Rossi, L., Neumayer, C., Henrichsen, J. & Beck, L., 31 Jan 2022, In: Social Science Computer Review.

    Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review