Descriptive vs. Inferential Community Detection in Networks: Pitfalls, Myths and Half-Truths (Elements in the Structure and Dynamics of Complex Networks) - Tapa blanda

Peixoto, Tiago P.

 
9781009113007: Descriptive vs. Inferential Community Detection in Networks: Pitfalls, Myths and Half-Truths (Elements in the Structure and Dynamics of Complex Networks)
Tapa blanda
ISBN 10: 1009113003 ISBN 13: 9781009113007
Editorial: Cambridge University Press, 2023

Sinopsis

Community detection is one of the most important methodological fields of network science, and one which has attracted a significant amount of attention over the past decades. This area deals with the automated division of a network into fundamental building blocks, with the objective of providing a summary of its large-scale structure. Despite its importance and widespread adoption, there is a noticeable gap between what is arguably the state-of-the-art and the methods which are actually used in practice in a variety of fields. The Elements attempts to address this discrepancy by dividing existing methods according to whether they have a 'descriptive' or an 'inferential' goal. While descriptive methods find patterns in networks based on context-dependent notions of community structure, inferential methods articulate a precise generative model, and attempt to fit it to data. In this way, they are able to provide insights into formation mechanisms and separate structure from noise. This title is also available as open access on Cambridge Core.

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Editorial
Cambridge University Press
Año de publicación
2023
Idioma
Inglés
ISBN 10 
1009113003
ISBN 13 
9781009113007
Encuadernación
Tapa blanda
Número de páginas
84
Contacto del fabricante
no disponible
Persona responsable
Avery
https://www.avery.fr/

chemin des peupliers 27
Dardilly
Francia