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.
- 2021
- Published
Contrapuntal Connectedness: Analysing Relations Between Social Media Data and Ethnography in Digital Migration Studies
Sandberg, M., Grønlykke Mollerup, N. & Rossi, L., 2021, Research Methodologies and Ethical Challenges in Digital Migration Studies. Palgrave Macmillan, p. 53-85 (Approaches To Social Inequality And Difference).Research output: Conference Article in Proceeding or Book/Report chapter › Book chapter › 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
- Published
Research Methodologies and Ethical Challenges in Digital Migration Studies: Caring For (Big) Data?
Sandberg, M. (ed.), Rossi, L. (ed.), Galis, V. (ed.) & Bak Jørgensen, M. (ed.), 2021, Palgrave Macmillan. (Approaches To Social Inequality And Difference).Research output: Book / Anthology / Report / Ph.D. thesis › Anthology › Research › peer-review
- 2020
- 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 Journal › Journal article › Research › peer-review
- 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 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
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
Distortions of political bias in crowdsourced misinformation flagging
Coscia, M. & Rossi, L., 10 Jun 2020, In: Journal of the Royal Society. Interface. 17, 167Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
- 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 Journal › Journal article › Research › peer-review