Reconstructing Networks

Giulio Cimini, Rossana Mastrandrea, Tiziano Squartini

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English

Cambridge University Press
09 September 2021

Discrete mathematics; Statistical physics; Mathematical physics; Maths for computer scientists

Series: Elements in the Structure and Dynamics of Complex Networks

Summary
Details

Complex networks datasets often come with the problem of missing information: interactions data that have not been measured or discovered, may be affected by errors, or are simply hidden because of privacy issues. This Element provides an overview of the ideas, methods and techniques to deal with this problem and that together define the field of network reconstruction. Given the extent of the subject, the authors focus on the inference methods rooted in statistical physics and information theory. The discussion is organized according to the different scales of the reconstruction task, that is, whether the goal is to reconstruct the macroscopic structure of the network, to infer its mesoscale properties, or to predict the individual microscopic connections.

By: Giulio Cimini, Rossana Mastrandrea, Tiziano Squartini
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Dimensions: Height: 229mm, Width: 152mm, Spine: 6mm
Weight: 171g
ISBN: 9781108726818
ISBN 10: 110872681X
Series: Elements in the Structure and Dynamics of Complex Networks
Pages: 75
Publication Date: 09 September 2021
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active