See: https://pure.itu.dk/portal/en/organisations/networks-data-and-society/publications/

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)

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)