Global spectral clustering in dynamic networks

DOI10.1073/pnas.1718449115zbMath1418.91430OpenAlexW2783382315WikidataQ47861364 ScholiaQ47861364MaRDI QIDQ4967471

Kathryn Roeder, David Choi, Lu Xie, Fuchen Liu

Publication date: 3 July 2019

Published in: Proceedings of the National Academy of Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1073/pnas.1718449115

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Social networks; opinion dynamics (91D30)

Related Items (12)

Sparse and smooth: improved guarantees for spectral clustering in the dynamic stochastic block model ⋮ Detecting evolving communities in dynamic networks using graph regularized evolutionary nonnegative matrix factorization ⋮ Optimal Estimation of the Number of Network Communities ⋮ Bias-Adjusted Spectral Clustering in Multi-Layer Stochastic Block Models ⋮ Phase transitions in normalized cut of social networks ⋮ Community detection based on first passage probabilities ⋮ Consistency of the maximum likelihood and variational estimators in a dynamic stochastic block model ⋮ Optimal nonparametric change point analysis ⋮ Optimal change point detection and localization in sparse dynamic networks ⋮ Big networks: a survey ⋮ Extended stochastic block models with application to criminal networks ⋮ Covariance-Based Sample Selection for Heterogeneous Data: Applications to Gene Expression and Autism Risk Gene Detection

This page was built for publication: Global spectral clustering in dynamic networks