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. Journal article › Research › Peer-reviewed
  2. Published

    Invisible Data: A Framework for Understanding Visibility Processes in Social Media Data

    Neumayer, C., Rossi, L. & David M., S., 1 Jan 2021, In: Social Media + Society. 7, 1

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

  3. 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

  4. 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

  5. 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

  6. 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

  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

    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

  10. Published

    Temporal and cultural limits of privacy in smartphone app usage

    Sekara, V., Alessandretti, L., Mones, E. & Jonsson, H., 16 Feb 2021, In: Scientific Reports. 11, p. 1-9 9 p., 3861 (2021).

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

  11. 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