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

    Mapping the NFT revolution: market trends, trade networks, and visual features

    Nadini, M., Alessandretti, L., Di Giacinto, F., Martino, M., Aiello, L. M. & Baronchelli, A., 22 Oct 2021, In: Scientific Reports. 11, 1

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

  2. 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

  3. Published

    Migrant Digital Space: Building an Incomplete Map to Navigate Public Online Migration

    Makrygianni, V., Kamal, A., Rossi, L. & Galis, V., 2021, Research Methodologies and Ethical Challenges in Digital Migration Studies: Caring For (Big) Data?. Palgrave Macmillan, p. 25-52 (Approaches To Social Inequality And Difference).

    Research output: Conference Article in Proceeding or Book/Report chapterBook chapterResearchpeer-review

  4. 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

  5. Published

    Multi-Party Media Partisanship Attention Score. Estimating Partisan Attention of News Media Sources Using Twitter Data in the Lead-up to 2018 Italian Election

    Giglietto, F., Righetti, N., Marino, G. & Rossi, L., 1 Apr 2019, In: Comunicazione Politica. p. 85-108

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

  6. 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

  7. Published

    New and atypical combinations: An assessment of novelty and interdisciplinarity

    Fontana, M., Iori, M., Montobbio, F. & Sinatra, R., Sep 2020, In: Research Policy. 49, 7

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

  8. 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

  9. Published

    Pearson correlations on complex networks

    Coscia, M., 25 Oct 2021, In: Journal of Complex Networks. 9, 6, 13 p., 6.

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

  10. Published

    Research Methodologies and Ethical Challenges in Digital Migration Studies: Caring For (Big) Data?

    Sandberg, M. (ed.), Rossi, L. (ed.), Galis, V. (ed.) & Bak Jørgensen, M. (ed.), 2021, Palgrave Macmillan. (Approaches To Social Inequality And Difference).

    Research output: Book / Anthology / Report / Ph.D. thesisAnthologyResearchpeer-review