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Descriptive vs. Inferential Community Detection in Networks: Pitfalls, Myths and Half-Truths by Tiago P. Peixoto (Central European University, Vienna) at Abbey's Bookshop,
Descriptive vs. Inferential Community Detection in Networks: Pitfalls, Myths and Half-Truths
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Tiago P. Peixoto (Central European University, Vienna)

Descriptive vs. Inferential Community Detection in Networks

Pitfalls, Myths and Half-Truths

Tiago P. Peixoto (Central European University, Vienna)

$32.95

Paperback

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English
Cambridge University Press
31 August 2023
Statistical physics
Series: Elements in the Structure and Dynamics of Complex Networks
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.
By:  
Imprint:   Cambridge University Press
Country of Publication:   United Kingdom
Dimensions:   Height: 229mm,  Width: 152mm,  Spine: 4mm
Weight:   135g
ISBN:   9781009113007
ISBN 10:   1009113003
Series:   Elements in the Structure and Dynamics of Complex Networks
Pages:   75
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active

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