Community detection in heterogeneous signed networks

发布时间：2025-12-08 作者：浏览次数：

Speaker:	张靖南	DateTime:	2025年12月11日（周四）上午11:00 -12:00
Brief Introduction to Speaker: 张靖南，中国科学技术大学科技商学院特任副教授。本科毕业于中国科学技术大学管理学院统计与金融系，博士毕业于香港城市大学数据科学学院，师从王军辉教授。主要研究方向为网络数据分析，相关研究成果发表在JASA、Biometrics、JCGS等学术期刊。		Place:	国交2号楼315会议室
Abstract:Network data has attracted growing interest across scientific domains, prompting the development of various network models. Existing network analysis methods mainly focus on unsigned networks, whereas signed networks, consisting of both positive and negative edges, have been frequently encountered in practice but much less investigated. In this paper, we formally define strong and weak balance in signed networks, and propose a signed block $\beta$-model, which is capable of modeling strong- and weak-balanced signed networks simultaneously. We establish the identifiability of the proposed model by leveraging properties of bipartite graphs, and develop an efficient alternating updating algorithm to optimize the resulting log-likelihood function. More importantly, we establish the asymptotic consistencies of the proposed model in terms of both probability estimation and community detection. Its advantages are also demonstrated through extensive numerical experiments and the application...