The NEtwoRks, Data, and Society (NERDS) group, founded in April 2019, 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.

NERDS research stream


Foundational NERDS research

Our most important, defining works are:

R. Sinatra, D. Wang, P. Deville, C. Song, and A.-L. Barabási
Quantifying the evolution of individual scientific impact
Science, 354, 6312 (2016)

V. Sekara, A. Stopczynski, S. Lehmann
Fundamental structures of dynamic social networks
Proceedings of the National Academy of Sciences, USA 113 (36), 9977-9982 (2016)

LM Aiello et al.
Sensing trending topics in Twitter
IEEE Transactions on Multimedia 15 (6), 1268-1282 (2013)

M. Coscia, G. Rossetti, F. Giannotti, D. Pedreschi
Demon: a local-first discovery method for overlapping communities
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining (2012)

M. Magnani, L. Rossi
The ml-model for multi-layer social networks
IEEE, Proceeding of 2011 International Conference on Advances in Social Networks Analysis and Mining (2011)

M. Szell, R. Lambiotte, S. Thurner
Multirelational organization of large-scale social networks in an online world
Proceedings of the National Academy of Sciences USA 107(31), 13636-13641 (2010)