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.
- 2021
- 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 Journal › Journal article › Research › peer-review
- 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 Journal › Journal article › Research › peer-review
- 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 Journal › Journal article › Research › peer-review
- 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 Journal › Journal article › Research › peer-review
- 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. 129-139Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- 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 Journal › Journal article › Research › peer-review
- 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 Journal › Journal article › Research › peer-review
- Published
Analysis of Multiplex Social Networks with R
Magnani, M., Rossi, L. & Vega, D., 2 Jun 2021, In: Journal of Statistical Software. 98, 8Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
- 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 Journal › Journal article › Research › peer-review
- 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 chapter › Book chapter › Research › peer-review