The (un)supervised NMF methods for discovering overlapping communities as well as hubs and outliers in networks
type: Item
instance of: scholarly article
title: The (un)supervised NMF methods for discovering overlapping communities as well as hubs and outliers in networks
zbMATH Open document ID: 1400.91495
author: R. Smith
published in: Physica A
publication date: 2018-11-13T00:00:00Z
Mathematics Subject Classification ID: 91D30
Mathematics Subject Classification ID: 05C82
Mathematics Subject Classification ID: 68M10
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 65Y20
zbMATH DE Number: 6977764
zbMATH Keywords: overlapping community
zbMATH Keywords: hubs
zbMATH Keywords: outliers
zbMATH Keywords: (Bayesian) NMF
describes a project that uses: GraphBase
describes a project that uses: WordNet
MaRDI profile type: Publication
full work available at URL: j.physa.2015.11.016
OpenAlex ID: W2178448356
cites work: Community structure in social and biological networks
cites work: Learning the parts of objects by non-negative matrix factorization
cites work: Community discovery using nonnegative matrix factorization
cites work: Overlapping community detection in networks
cites work: Q3140399
cites work: Collective dynamics of ‘small-world’ networks
cites work: Fast unfolding of communities in large networks
cites work: Q4398334
DOI: 10.1016/J.PHYSA.2015.11.016
description: scientific article; zbMATH DE number 6977764