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.
- 2022
- Published
A potential mechanism for low tolerance feedback loops in social media flagging systems
Westermann, C. J. & Coscia, M., 26 May 2022, In: PLOS ONE.Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
- Published
Growing urban bicycle networks
Szell, M., Mimar, S., Perlman, T., Ghoshal, G. & Sinatra, R., 26 Apr 2022, In: Scientific Reports. 12, 6765, 6765.Research 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
Identifying urban features for vulnerable road user safety in Europe
Klanjcic, M., Gauvin, L., Tizzoni, M. & Szell, M., 28 Apr 2022, In: EPJ Data Science. 11, 27Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
- Published
Generalized Euclidean Measure to Estimate Distances on Multilayer Networks
Coscia, M., 4 Apr 2022, In: ACM Transactions on Knowledge Discovery from Data.Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
- Published
How minimizing conflicts could lead to polarization on social media: An agent-based model investigation
Coscia, M. & Rossi, L., 27 Jan 2022, In: PLOS ONE. 17, 1Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
- 2021
- Published
The Language of Situational Empathy
Zhou, K., Aiello, L. M., Scepanovic, S., Quercia, D. & Konrath, S., 22 Apr 2021, Proceedings of the ACM on Human-Computer Interaction. 1 ed. ACM Conference on Computer-Human Interaction, Vol. 5. p. 1-19 19 p.Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review
- Published
The Healthy States of America: Creating a Health Taxonomy with Social Media
Scepanovic, S., Aiello, L. M., Zhou, K. & Quercia, D., 22 May 2021, Proceedings of the Fifteenth International AAAI Conference on Web and Social Media. 1 ed. AAAI Press, Vol. 15. p. 621-632Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › 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
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