NEtwoRks, Data, and Society
Organisational unit: Research Group
IT University of Copenhagen
Rued Langgaards Vej 7
DK-2300 Copenhagen S
Denmark
Contact information
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.
- Journal article › Research › Peer-reviewed
- 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
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, 1Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
- 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 Journal › Journal article › Research › peer-review
- 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 Journal › Journal article › Research › peer-review
- 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 Journal › Journal article › Research › peer-review
- Published
Mapping the NFT revolution: market trends, trade networks, and visual features
Nadini, M., Alessandretti, L., Di Giacinto, F., Martino, M., Aiello, L. M. & Baronchelli, A., 22 Oct 2021, In: Scientific Reports. 11, 1Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
- Published
Measuring Violence: A Computational Analysis of Violence and Propagation of Image Tweets From Political Protest
Rossi, L., Neumayer, C., Henrichsen, J. & Beck, L., 31 Jan 2022, In: Social Science Computer Review.Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
- 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. 85-108Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
- 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, 7Research output: Journal Article or Conference Article in Journal › Journal article › 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