Seminar（Dept. of Trade Economics）

Title: Knowledge-based multiplex network representation and sub-structure detection for production network: An application to multi-regional input-output data

Speaker:Xiaoqi Zhang(National School of Development, Southeast University )

Time:10:00-11:30 (Thursday), June 26th, 2025

Venue:Room 1008, Mingde Business Building

Language:Chinese

ABSTRACT:

We propose a novel and easy-to-implement algorithm that helps represent the hidden topology of a production network as a family of inter-connected multiplex networks, with the network on each of the multi-layers having simple topology from which useful structural information can be easily read out. Prior knowledge on the input production network plays a critical role in the identification of the multilayers and the inter-layer connections, which makes our approach flexible and fills the gap between the knowledge-based and the data-oriented community detection algorithms. By applying the algorithm into the multi-regional input-output data in China, we demonstrate how the field knowledge on the industrial and regional agglomeration can help identify the hidden structures within the full supply chain.

SHORT BIOGRAPHY:

Zhang Xiaoqi earned a Ph.D. in Mathematics from the State University of New York at Buffalo and completed a postdoctoral fellowship at the Institute of Economics of the Chinese Academy of Social Sciences. His research focuses on the intersection of complex networks and economics/finance. He currently serves as an Associate Researcher at the Institute for National Development and Policy at Southeast University, an Associate Professor at the School of Finance and Economics, Henan Polytechnic University, a Senior Research Fellow at the National Finance and Development Lab of the Chinese Academy of Social Sciences, and a guest editor for China Economic Review. His research was funded by the National Natural Science Foundation of China (Youth Program), the Ministry of Education’s Humanities and Social Sciences Planning Fund, the China Postdoctoral Science Foundation (General Program), and the China Academy of Social Sciences Postdoctoral Innovation Program. He has also participated in the National Key R&D Program project “Theory and Methods for Financial Risk Measurement” and multiple major projects under the National Social Science Foundation.