ITU

NEtwoRks, Data, and Society

Organisational unit: Research Group

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

Contact information

Research Group Coordinator

Roberta Sinatra (rsin@itu.dk)

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. 2021
  2. Published

    How epidemic psychology works on Twitter: evolution of responses to the COVID-19 pandemic in the U.S.

    Aiello, L. M., Quercia, D., Zhou, K., Constantinides, M., Scepanovic, S. & Joglekar, S., 23 Jul 2021, In: Humanities and social sciences communications. 8, p. 1-15 15 p., 179.

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

  3. Published

    Streetonomics: Quantifying culture using street names

    Banchilon, M., Constantinides, M., Bogucka, E., Aiello, L. M. & Quercia, D., 30 Jun 2021, In: PLOS ONE. 16, e0252869.

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

  4. Published

    The Dreamcatcher: Interactive Storytelling of Dreams

    Bogucka, E., Aseniero, B. A., Aiello, L. M. & Quercia, D., 1 Jun 2021, In: IEEE Computer Graphics and Applications. p. 105-112 33961549.

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

  5. Published

    Implementing Gehl’s Theory to Study Urban Space. The Case of Monotowns

    Cerrone, D., Baeza, J. L., Lehtovuori, P., Quercia, D., Schifanella, R. & Aiello, L. M., 2 May 2021, In: Sustainability. 13, 9, 5105.

    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

    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

  8. 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

  9. Published

    Analysis of Multiplex Social Networks with R

    Magnani, M., Rossi, L. & Vega, D., 2 Jun 2021, In: Journal of Statistical Software. 98, 8

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

  10. Published

    Community Detection in Multiplex Networks

    Magnani, M., Hanteer, O., Interdonato, R., Rossi, L. & Tagarelli, A., May 2021, In: ACM Computing Surveys. 54, 3, 48.

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

  11. 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

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