Community detection with structural and attribute similarities

DOI10.1080/00949655.2019.1568435OpenAlexW2909605205MaRDI QIDQ5107347

Fengqin Tang, Wenwen Ding

Publication date: 27 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2019.1568435

zbMATH Keywords

modularitycommunity detectionspectral clusteringstochastic block model

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25)

Related Items (1)

Semidefinite programming based community detection for node-attributed networks and multiplex networks

Cites Work

• Community detection in networks with node features
• Uncovering latent structure in valued graphs: a variational approach
• Developing a feature weight self-adjustment mechanism for a K-means clustering algorithm
• Dense community detection in multi-valued attributed networks
• Consistency of community detection in networks under degree-corrected stochastic block models
• Hierarchical clustering schemes
• Robust and computationally feasible community detection in the presence of arbitrary outlier nodes
• A nonparametric view of network models and Newman–Girvan and other modularities
• Partitioning Sparse Matrices with Eigenvectors of Graphs
• Mixture models and exploratory analysis in networks
• Community structure in social and biological networks
• 10.1162/jmlr.2003.3.4-5.993
• Modularity Based Community Detection in Heterogeneous Networks
• A Survey of Statistical Network Models
• Covariate-assisted spectral clustering

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