Nepusz Tamás

research associate

PhD (BME, 2009)

Biológiai Fizika Tanszék


Office: 3.92


Phone: +36-1-372-2500 / 6367


E-mail: send message

Website: http://hal.elte.hu/~nepusz

Tamás received his M.Sc. degree in computer science from the Budapest University of Technology and Economics in 2005, and moved on to pursue a Ph.D. degree at the Department of Measurement and Information Systems. Having fulfilled the requirements of a Ph.D. in 2008, he applied for and received the Newton International Fellowship from the Royal Society and relocated to Royal Holloway, University of London as a post-doc research fellow in bioinformatics and machine learning. He returned to Hungary in late 2010 to join the Department of Biological Physics at the Eötvös University and to work on topics related to collective motion and the emergence of hierarchies in complex systems. He is also interested in clustering algorithms for complex networks and the application of machine learning methods to solve biological problems. He is a holder of the Pro Scientia Golden Medal since 2005.


Selected publications of the last five years:

[1] Nepusz T, Vicsek T: Controlling edge dynamics in complex networks. Nature Physics 8:568–573, 2012.

[2] Nepusz T, Yu H, Paccanaro A: Detecting overlapping protein complexes in protein-protein interaction networks. Nature Methods 9:471–472, 2012.

[3] Nepusz T, Sasidharan R, Paccanaro A: SCPS: a fast implementation of a spectral method for detecting protein families on a genome-wide scale. BMC Bioinformatics 11:120, 2010.

[4] Nepusz T, Négyessy L, Tusnády G, Bazsó F: Reconstructing cortical networks: case of directed graphs with high level of reciprocity. Handbook of Large-scale Random Networks, ed.: Béla Bollobás, Róbert Kozma, Dezső Miklós. ISBN: 978‒3‒540‒69394‒9. Springer, 2008.

[5] Nepusz T, Petróczi A, Négyessy L, Bazsó F: Fuzzy communities and the concept of bridgeness in complex networks. Physical Review E 77:016107, 2008.

[6] Négyessy L, Nepusz T, Zalányi L, Bazsó F: Convergence and divergence are mostly reciprocated properties of the connections in the network of cortical areas. Proceedings of the Royal Society B: Biological Sciences 275:2403–2410, 2008.

[7] Négyessy L, Nepusz T, Kocsis L, Bazsó F: Prediction of the main cortical areas and connections involved in the tactile function of the visual cortex by network analysis. European Journal of Neuroscience 23(7):1919–1930, 2006