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primary topic: Graph clustering via generalized colorings

Graph clustering via generalized colorings
type: AcademicArticle
type: Article
abstract: We propose a new approach for defining and searching clusters in graphs that represent real technological or transaction networks. In contrast to the standard way of finding dense parts of a graph, we concentrate on the structure of edges between the clusters, as it is motivated by some earlier observations, e.g. in the structure of networks in ecology and economics and by applications of discrete tomography. Mathematically special colorings and chromatic numbers of graphs are studied.
date: 2022
volume: 918
is part of: THEORETICAL COMPUTER SCIENCE
status: peerReviewed
status: published
author list: authors
type: EPrint
type: ArticleEPrint
is part of: repository
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subject: QA Mathematics / matematika

Graph clustering via generalized colorings (Text)
type: Document

THEORETICAL COMPUTER SCIENCE
type: Collection
issn: 03043975

Ryan Robert Martin
type: Person
given name: Ryan Robert
family name: Martin

András London
type: Person
given name: András
family name: London

András Pluhár
type: Person
given name: András
family name: Pluhár

Számítógépes Optimalizálás Tanszék SZTE / TTIK / INF SZOT [2016-]
type: Organization

Graph clustering via generalized colorings (Other)
type: Document
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Graph clustering via generalized colorings (Other)
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Graph clustering via generalized colorings (Other)
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Graph clustering via generalized colorings (Other)
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Graph clustering via generalized colorings (Other)
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primary topic: Graph clustering via generalized colorings

QA Mathematics / matematika
type: Concept