Roger Guimerà

Universitat Rovira i Virgili (URV)

Experimental Sciences & Mathematics

Roger Guimerà (Barcelona, 1976) graduated in Physics at Universitat de Barcelona in 1998, and obtained a PhD in Chemical Engineering from Universitat Rovira i Virgili in 2003. He then moved to Northwestern University where he worked as a postdoctoral fellow and, later, as a Fulbright Scholar. In 2008 he became a Research Assistant Professor at Northwestern's Department of Chemical and Biological Engineering, before accepting his current position at ICREA in 2010. He has been awarded the Premi Nacional de Recerca al Talent Jove (2010), the Erdös-Rényi Prize in Network Science (2012), and the Young Scientist Award for Socio- and Econophysics (2014).

Research interests

Cells, ecosystems and economies are examples of complex systems. In complex systems, individual components interact with each other, usually in nonlinear ways, giving rise to complex networks of interactions that are neither totally regular nor totally random. Partly because of the interactions themselves and partly because of the interaction’s topology, complex systems cannot be properly understood by just analyzing their constituent parts. This feature of complex systems poses important challenges from both a fundamental perspective and an engineering perspective. Roger’s research is devoted to the study of complex systems and, particularly, of the structure of complex networks and the interplay between network structure and dynamics. During his career, he has: (i) made methodological contributions to the study of complex networks, and (ii) used complex network analysis to gain understanding on a number of systems.

Selected publications

– Godoy-Lorite A, Guimera R, Moore C & Sales-Pardo M 2016, ‘Accurate and scalable social recommendation using mixed-membership stochastic block models’, Proc. Natl. Acad. Sci. USA 113 (50), 14207 -14212.

– Massucci FA, Wheeler J, Beltran-Debon R, Joven J, Sales-Pardo M & Guimera R 2016, ‘Inferring propagation paths for sparsely observed perturbations on complex networks’, Sci. Adv. 2, e1501638.

– Valles-Catala T, Massucci FA, Guimera R  & Sales-Pardo M 2016, ‘Multilayer stochastic block models reveal the multilayer structure of complex networks’, Physical Review X, 6, 011036.

– Godoy-Lorite A, Guimera R & Sales-Pardo M 2016, ‘Long-term evolution of email networks: Statistical regularities, predictability and stability of social behaviors, PLoS ONE 11, 1, e0146113.

Selected research activities

Principal investigator:

-“Discovery, decomposition and dynamics of complex networks”, James S. McDonnell Foundation (USA), Jan. 1, 2011 to Dec. 31, 2016.

-“Inferencia estadística para el análisis de perturbaciones sistémicas en redes complejas”, MINECO-Europa Excelencia (Spain), Nov. 1, 2015 to Oct. 31, 2016.