Overlapping clustering methods for networks

Pierre Latouche; Etienne Birmelé; Christophe Ambroise

doi:10.1201/b17520

Overlapping clustering methods for networks

Pierre Latouche
, Etienne Birmelé
, Christophe Ambroise

Université Paris 1 Panthéon-Sorbonne
Université d'Evry Val d'Essonne
University Lyon 1
Laboratoire de Probabilités et Modèles Aléatoires

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Chapitre › Revue par des pairs

Résumé

Networks allow the representation of interactions between objects. Their structures are often complex to explore and need some algorithmic and statistical tools for summarizing. One possible way to go about this is to cluster their vertices into groups having similar connectivity patterns.

langue originale	Anglais
titre	Handbook of Mixed Membership Models and Their Applications
Editeur	CRC Press
Pages	547-567
Nombre de pages	21
ISBN (Electronique)	9781466504097
ISBN (imprimé)	9781466504080
Les DOIs	https://doi.org/10.1201/b17520
état	Publié - 1 janv. 2014
Modification externe	Oui

Accès au document

10.1201/b17520

Contient cette citation

@inbook{35f570a7278146d5802772d4a2967ea0,

title = "Overlapping clustering methods for networks",

abstract = "Networks allow the representation of interactions between objects. Their structures are often complex to explore and need some algorithmic and statistical tools for summarizing. One possible way to go about this is to cluster their vertices into groups having similar connectivity patterns.",

author = "Pierre Latouche and Etienne Birmel{\'e} and Christophe Ambroise",

note = "Publisher Copyright: {\textcopyright} 2015 by Taylor \& Francis Group, LLC.",

year = "2014",

month = jan,

day = "1",

doi = "10.1201/b17520",

language = "English",

isbn = "9781466504080",

pages = "547--567",

booktitle = "Handbook of Mixed Membership Models and Their Applications",

publisher = "CRC Press",

}

TY - CHAP

T1 - Overlapping clustering methods for networks

AU - Latouche, Pierre

AU - Birmelé, Etienne

AU - Ambroise, Christophe

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Networks allow the representation of interactions between objects. Their structures are often complex to explore and need some algorithmic and statistical tools for summarizing. One possible way to go about this is to cluster their vertices into groups having similar connectivity patterns.

AB - Networks allow the representation of interactions between objects. Their structures are often complex to explore and need some algorithmic and statistical tools for summarizing. One possible way to go about this is to cluster their vertices into groups having similar connectivity patterns.

U2 - 10.1201/b17520

DO - 10.1201/b17520

M3 - Chapter

AN - SCOPUS:84961850372

SN - 9781466504080

SP - 547

EP - 567

BT - Handbook of Mixed Membership Models and Their Applications

PB - CRC Press

ER -

Overlapping clustering methods for networks

Résumé

Accès au document

Empreinte digitale

Contient cette citation