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学术报告


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Speaker:

Dr. Jingyi Jessica Li,Associate Professor;Department of Statistics, University of California, Los Angeles

Inviter: 张世华 研究员
Title:
Matched Bipartite Block Model with Covariates
Time & Venue:

2019.8.30 14:00 N218

Abstract:

Community detection or clustering is a fundamental task in the analysis of network data. Many real networks have a bipartite structure which makes community detection challenging. In this paper, we consider a model which allows for matched communities in the bipartite setting, in addition to node covariates with information about the matching. We derive a simple fast algorithm for fitting the model based on variational inference ideas and show its effectiveness on both simulated and real data. A variation of the model to allow for degree-correction is also considered, in addition to a novel approach to fitting such degree-corrected models.

Affiliation:  

学术报告中国科学院数学与系统科学研究院日搏官网

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