Reconstructing Networks (Paperback)

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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Series:	Elements in Structure and Dynamics of Complex Networks
Release date:	September 2021
Authors:	Giulio Cimini • Rossana Mastrandrea • Tiziano Squartini
Dimensions:	229 x 152 x 6mm (L x W x T)
Format:	Paperback - Trade
Pages:	75
ISBN-13:	978-1-108-72681-8
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics Promotions
LSN:	1-108-72681-X
Barcode:	9781108726818

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