统计与数据科学系系列学术报告之四百三十一期

时    间：2024年5月11日（周六）16:00-17:00

地    点：李达三楼104室

主持人：复旦大学 管理学院 统计与数据科学系 沈娟 副教授

报告人：Dr. Emma Jingfei Zhang  Emory University

题   目：Modeling networks with textual edges

摘   要：Edges in many real-world networks are associated with rich text information, such as email communications between accounts and interactions between social media users. To better account for the rich text information, we propose a new latent space network model that treats texts as embedded vectors. We establish a set of identifiability conditions for the proposed model and formulate a projected gradient descent algorithm for model estimation. We further investigate theoretical properties of the iterates from the proposed algorithm. The efficacy of our method is demonstrated through simulations and an analysis of the Enron email dataset.

个人简介：Dr. Emma Jingfei Zhang is Associate Professor of Information Systems & Operations Management. She received her Ph.D. in Statistics from the University of Illinois at Urbana-Champaign. Prior to joining Emory, she was an Associate Professor of Management Science at the University of Miami, where she also held a secondary appointment in the Public Health Sciences. Dr. Zhang’s research focuses on the developments of statistical methods and theory for high-dimensional networks, graphs, tensors, and point processes, with applications in business, social sciences, biology, and medicine. Her research has appeared in leading journals in statistics, machine learning, economics, and biology, and has been supported by grants from the National Science Foundation. She serves as an associate editor of the Statistica Sinica, Annals of Applied Statistics and the Journal of the American Statistical Association.

统计与数据科学系

2024-5-8