9 citations · 14 across the 4 of their papers we have counts for
4 papers
Community Detection on a Randomly Growing Network
Jianxiang Wang, Min Xu
We study community detection on Markovian random networks outside of the Stochastic Block Model (SBM) framework. Specifically, we consider a random network growth process which gen…
Root and community inference on the latent growth process of a network
Harry Crane, Min Xu
Many existing statistical models for networks overlook the fact that many real world networks are formed through a growth process. To address this, we introduce the PAPER (Preferen…
Inference on the History of a Randomly Growing Tree
Harry Crane, Min Xu
The spread of infectious disease in a human community or the proliferation of fake news on social media can be modeled as a randomly growing tree-shaped graph. The history of the r…
Optimal Rates for Community Estimation in the Weighted Stochastic Block Model
Min Xu, Varun Jog, Po-Ling Loh
Community identification in a network is an important problem in fields such as social science, neuroscience, and genetics. Over the past decade, stochastic block models (SBMs) hav…