报告标题：PDE modeling of complex networks with higher-order organization

报告人：王海燕 教授 （Arizona State University, USA）

报告时间：2017年6月23日（星期五）下午17:00

报告地点：复杂系统研究所报告厅

报告摘要： Complex networks are a fundamental tool for understanding complex systems in many subjects including biology, engineering, and social science. Many mathematical models have been proposed to study complex networks based on lower-order connectivity patterns that can be captured at the level of individual nodes and edges. However, higher-order organization of complex networks—at the level of small network subgraphs—remains largely unknown. In this talk, we present a number of ordinary/partial differential equations for studying complex systems with higher-order organization.

王海燕教授简介：王海燕教授主要从事应用数学、微分方程、生物数学、社会网络、大数据等方向的研究工作。1997年于美国密歇根州立大学( Michigan State University)获数学博士学位，2011年评为Arizona州立大学副教授，2015年评为Arizona州立大学教授。已在国际知名期刊上发表学术论文70余篇。其专著“Modeling Information Diffusion in Online Social Networks with Partial Differential Equations”将由Springer出版社近期出版。研究成果被国际同行引用超过3800余次(Google Scholar)。

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