Central European University, Vienna & CSH External Faculty
János Kertész (Dr. rer. nat. Eötvös University) is professor and Head of the Department of Network and Data Science at the Central European University (CEU). Earlier he was researcher at the Hungarian Academy of Sciences, Professor at the Budapest University of Technology and Economics, finally the Director of the Institute of Physics.
János’s main interest is in interdisciplinary applications of statistical physics, including econophysics, network science and computational social science. He finds that, after 250 years of efforts, the micro to macro transition is still one of the most challenging problems in social sciences.
He is an elected member of the Hungarian Academy of Sciences. He moved to Vienna in 2020, when CEU was expelled from Hungary.
A. Alrhmoun, J. Kertész
Emergent local structures in an ecosystem of social bots and humans on Twitter
EPJ Data Science 12 (2023) 39
G. Iniguez, S. Heydari, J. Kertész, J. Saramäki
Universal patterns in egocentric communication networks
Nature Communications 14 (2023) 5217
A. Alrhmoun, C. Winter, J. Kertész
Automating Terror: The Role and Impact of Telegram Bots in the Islamic State’s Online Ecosystem
Terrorism and Political Violence (2023)
G. Bianconi, A. Arenas, J. Biamonte, L. D. Carr, B. Kahng, J. Kertesz, J. Kurths, L. Lü, C. Masoller, A. E. Motter, M. Perc, F. Radicchi, R. Ramaswamy, F. A. Rodrigues, M. Sales-Pardo, M. San Miguel. S. Thurner, T. Yasseri
Complex systems in the spotlight: next steps after the 2021 Nobel Prize in Physics
Journals of Physics: Complexity 4(1) (2023) 010201
A. F. Peralta, J. Kertész, G. Iniguez
Opinion formation on social networks with algorithmic bias: dynamics and bias imbalance
Journal of Physics: Complexity 2 (4) (2021) 045009
A. Peralta, J. Kertész, G. Iniguez
Effect of algorithmic bias and network structure on coexistence, consensus, and polarization of opinions
Physical Review E 104 (2021) 044312