Academic Lecture: Research on Complex Network Community Analysis and Its Robustness under Intelligent Optimization

Research on Complex Network Community Analysis and Its Robustness under Intelligent Optimization

Associate Professor Ma Lijia

December 15, 2025 (Monday) 15:00–18:00

With the widespread application of Internet+, real-world systems are often modeled and expressed as structured complex networks. How to mine the intrinsic functions and robustness of real application systems through network-based structural analysis has become a research hotspot in recent years. This report combines intelligent optimization methods to mine multi-resolution community structures in complex systems and further analyzes their node-community functional robustness through theoretical and experimental approaches. Finally, it provides an outlook on community functional analysis under privacy protection.

Ma Lijia, Tenured Associate Professor and Doctoral Supervisor at Shenzhen University; Deputy Director of the Institute of Network and Information Security; Shenzhen Peacock Plan Category C Talent. Main research direction: large-scale network structural analysis and applications under intelligent optimization learning. Led more than 10 projects at national, provincial, and municipal levels; published over 100 papers with more than 3,600 Google Scholar citations. Received awards including First Prize for Innovation Team from the Chinese Association for Artificial Intelligence, First Prize for Scientific and Technological Progress, Best Young Scientific and Technological Achievement Award, First Prize for Scientific and Technological Progress from the Chinese Association of Automation, Second Prize for Natural Science from the Ministry of Education, and Best Paper Nomination at the IEEE ARM EI International Conference, among others.

Prepared by: Ren Luyang

Typeset by: Chen Shifa

First Review and Proofreading: Ren Luyang

Second Review and Proofreading: Ma Jiang

Third Review and Proofreading: Zheng Chun