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

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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.

Original language	English
Title of host publication	Handbook of Mixed Membership Models and Their Applications
Publisher	CRC Press
Pages	547-567
Number of pages	21
ISBN (Electronic)	9781466504097
ISBN (Print)	9781466504080
DOIs	https://doi.org/10.1201/b17520
Publication status	Published - 1 Jan 2014
Externally published	Yes

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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.",

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ER -

Overlapping clustering methods for networks

Abstract

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