Modeling of complex systems and networks

University of Debrecen

Doctoral School of Informatics

Varga Imre

computer sciences

A complex system consists of many components and a lot of dynamic interaction between them. Their common features are self-organization, appearance of (fractal) structures, and emergent behavior. Due to the large number of components and the nonlinear interactions, the behavior of the full system cannot be predicted based on the properties of the components. These systems play an important role in our everyday life (e.g., human society, the Internet, traffic systems, biological systems etc.), which is why their study is essential. During the research, the tools of computer modeling and simulation (e.g., agent-based modeling, molecular dynamics simulation, cellular automata etc.) are used to analyze the systems following the international scientific research trends.

References:
• Albert-László Barabási: Network science, Cambridge University Press, 2016.
• Hiroki Sayama: Introduction to the modeling and analysis of complex systems, SUNY BingHamton, 2015.
• Uri Wilensky; William Rand: An introduction to agent-based modeling: Modeling natural, social and engineered complex systems with NetLogo, MIT Press, 2015.
• Dennis C. Rapaport: The Art of Molecular Dynamics Simulation, Cambridge University Press, 2004.

ITDI

2026-01-15