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

    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

  3. 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

  4. Published

    The universal visitation law of human mobility

    Schläpfer, M., Dong, L., O'Keeffe, K., Santi, P., Szell, M., Salat, H., Anklesaria, S., Vazifeh, M., Ratti, C. & West, G., 26 May 2021, In: Nature. 593, p. 522-527

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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 2020
  10. Published

    Data-driven strategies for optimal bicycle network growth

    Natera Orozco, L. G., Battiston, F., Iñiguez, G. & Szell, M., 16 Dec 2020, In: Royal Society Open Science. 7, 201130, 201130.

    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

  12. 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

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