Overview: The researchers at the group of statistical physics and complex systems endeavor to understand and unify the underlying, shared patterns in complex physical, biological, social, technological, and many more systems, through rigorous physical, mathematical, and computational reasoning.

Members:Weibing Deng, Liping Chi, Wei Li.

The research at the group of Statistical physics and Complex systems is very diverse and interdisciplinary. We aim at understanding the scaling laws and the underlying mechanisms behind them, by incorporating the methodologies across physics, mathematics and computer sciences. The major research areas include self-organized criticality, complex networks, Econophysics, human dynamics and the machine learning of phase transitions. Our research is on one hand fundamental and may have potential applications on the other hand.

One of our research highlights is the observation of scale-free weight distributions in the flight network, which is the direct evidence for the theoretical analysis of weighted networks. Another highlights of our research is related to the scaling laws found in sports ranking systems which are consistent with the Pareto’s law of human wealth. This part has been featured by Nature, IOP and MIT Technology Review.