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. 2020
  2. Published

    Extracting the multimodal fingerprint of urban transportation networks

    Natera Orozco, L. G., Battiston, F., Iñiguez, G. & Szell, M., 10 Jun 2020, In: Transport Findings. 8 p., 13171.

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

  3. Published

    Success and luck in creative careers

    Janosov, M., Battiston, F. & Sinatra, R., 28 Apr 2020, In: EPJ Data Science. 9

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

  4. Published

    Historical comparison of gender inequality in scientific careers across countries and disciplines

    Huang, J., Gates, A. J., Sinatra, R. & Barabási, A-L., 3 Mar 2020, In: Proceedings of the National Academy of Sciences of the United States of America. 117, 9, p. 4609-4616

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

  5. Published

    It takes a village to manipulate the media: coordinated link sharing behavior during 2018 and 2019 Italian elections.

    Giglietto, F., Righetti, N., Rossi, L. & Marino, G., 2020, In: Information, Communication & Society. 1, 25, p. 867 891 p.

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

  6. 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

  7. Published

    Mapping Socioeconomic Indicators Using Social Media Advertising Data

    Fatehkia, M., Tingzon, I., Orden, A., Sy, S., Sekara, V., Garcia-Herranz, M. & Weber, I., 29 Jul 2020, In: EPJ Data Science. 15 p., 22.

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

  8. Published

    Distortions of political bias in crowdsourced misinformation flagging

    Coscia, M. & Rossi, L., 10 Jun 2020, In: Journal of the Royal Society. Interface. 17, 167

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

  9. Published

    Knowledge diffusion in the network of international business travel

    Coscia, M., Neffke, F. & Hausmann, R., 10 Aug 2020, In: Nature Human Behavior. p. 1-10 10 p.

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

  10. Published

    The Node Vector Distance Problem in Complex Networks

    Coscia, M., Gomez-Lievano, A., McNerney, J. & Neffke, F., 9 Dec 2020, In: ACM Computing Surveys. 53, 6, 27 p., 124.

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

  11. 2019
  12. Published

    An Innovative Way to Model Twitter Topic-Driven Interactions Using Multiplex Networks

    Hanteer, O. & Rossi, L., 6 Jun 2019, Frontiers in Big Data. Workshop Proceedings of the 13th International AAAI Conference on Web and Social Media. Frontiers

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