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stat.ME2026
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…
stat.ME2025
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…
stat.ME2025
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…