On the afternoon of December 18, 2020, Professor Zou Yong from East China Normal University gave an academic lecture titled "Nonlinear Time Series Analysis of Complex Evolutionary Networks" at the invitation of the Complex Network Science and Intelligent Systems Laboratory.
Professor Zou Yong received his Ph.D. in Physics from Potsdam University, Germany, in 2004. His research focuses on complex network structures and dynamics, their interdisciplinary applications, synchronization, time series analysis, nonlinear dynamical systems theory, and network game evolution. He has led five research projects, including the National Natural Science Foundation of China’s General Program and Youth Fund, the Shanghai Natural Science Foundation, the Ministry of Education’s New Faculty Fund, and the Start-Up Fund for Returned Scholars. To date, he has published more than 70 academic papers, including two in the internationally influential top journal *Phys. Rev. Lett.* and two in the renowned review journal *Phys. Rep.*. He has six papers with more than 100 citations each, five of which are highly cited papers. His work has been cited over 2,000 times in SCI journals and more than 3,000 times on Google Scholar.
The main purpose of nonlinear time series analysis is to reveal the inherent dynamical characteristics hidden in real data and the complexity phenomena of evolving network systems. Such data includes economic data from human social activities, such as stock trading and online shopping transactions.
Professor Zou Yong integrated nonlinear dynamics theory with complex network theory to conduct nonlinear time series analysis on a wide range of data, including electrophysiological data from the human brain's neural system (ECG, EEG, neural electrical activity, brain imaging data such as CT, MRI, and near-infrared spectroscopy) and meteorological data related to climate change (e.g., surface temperature, sea surface temperature, wind direction, and atmospheric pressure). He emphasized recent developments in transformation methods and their important applications in identifying system coupling directions and constructing brain functional networks.
During the Q&A session, both faculty and students actively asked questions, all of which Professor Zou Yong answered in detail. This lecture further sparked students' interest in the integration of network science and big data in scientific research.
