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.
- 2020
- Published
Success and luck in creative careers
Janosov, M., Battiston, F. & Sinatra, R., 28 Apr 2020, In: EPJ Data Science. 9Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
- Published
Historical comparison of gender inequality in scientific careers across countries and disciplines
Huang, J., Gates, A. J., Sinatra, R. & Barabási, A-L., 3 Mar 2020, In: Proceedings of the National Academy of Sciences of the United States of America. 117, 9, p. 4609-4616Research 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
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
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
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
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
- 2019
- Published
An Innovative Way to Model Twitter Topic-Driven Interactions Using Multiplex Networks
Hanteer, O. & Rossi, L., 6 Jun 2019, Frontiers in Big Data. Workshop Proceedings of the 13th International AAAI Conference on Web and Social Media. FrontiersResearch output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
The Meaning of Dissimilar: An Evaluation of Various Similarity Quantification Approaches Used to Evaluate Community Detection Solutions
Hanteer, O. & Rossi, L., 2019, Proceedings of the 2019 IEEE/ACM International Conference onAdvances in Social Networks Analysis and Mining(ASONAM 2019). Spezzano, F., Chen, W. & Xiao, X. (eds.). Association for Computing Machinery, p. 513-518 5 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review