4 papers
Understanding Geopolitical Alignments Through Covariate Augmented Spectral Clustering of Heterogeneous UNGA Voting Data
Chirayata Kusari, Souvik Roy, Srijan Sengupta
Community detection is a fundamental problem in network analysis. While many existing methods focus on homogeneous networks, real world networks are often heterogeneous, involving…
Predictive Subsampling for Scalable Inference in Networks
Arpan Kumar, Minh Tang, Srijan Sengupta
Current methods for statistical inference in networks often encounter substantial computational bottlenecks when applied to the massive network datasets that are increasingly commo…
A Unified Framework for Community Detection and Model Selection in Blockmodels
Subhankar Bhadra, Minh Tang, Srijan Sengupta
Blockmodels are a foundational tool for modeling community structure in networks, with the stochastic blockmodel (SBM), degree-corrected blockmodel (DCBM), and popularity-adjusted…
Scalable community detection in massive networks via predictive assignment
Subhankar Bhadra, Marianna Pensky, Srijan Sengupta
Massive network datasets are becoming increasingly common in scientific applications. Existing community detection methods encounter significant computational challenges for such m…