Complex Network Analysis
Speaker: Fan Ying
Time: May 30 16:00, 2023
Venue: The second lecture hall of Conference Center, East Campus
Abstract:Complex network analysis is an important method in the study of complexity, which focuses on the patterns of interactions within a system. This lecture will provide a brief introduction to the process of conducting complex network analysis, including its position in complexity research, network model construction, quantitative characterization of network topology, network evolution and mechanisms, as well as dynamics on networks. The aim is to provide an overview of the field of complex networks.
Biography: Fan Ying is a professor and doctoral supervisor at the School of Systems Science, Beijing Normal University. She is the Director and Executive Member of the Systems Theory Special Committee of the Chinese Society of Systems Engineering. She is also a member of the Complex Networks and Complex Systems Special Committee of the China Industrial and Applied Mathematics Society, as well as a member of the Social Computing and Intelligence Special Committee of the Chinese Association for Artificial Intelligence. Her research focuses on the theory of complex systems and its applications in various fields. Currently, she is primarily engaged in research related to complex networks and has achieved a series of research results. She has offered multiple rounds of the "Complex Network Analysis" course on the Chinese University MOOC (Massive Open Online Course) platform. She has received several awards and honors, including the Ministry of Education's New Century Talents Award in 2009, the Beijing Science and Technology Award (third prize) in 2010, the 11th Beijing Normal University Liyun Excellent Young Teacher Award, and the Tongding Award for Graduate Teaching.