Description: 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.
Price: 28.91 AUD
Location: Hillsdale, NSW
End Time: 2025-02-05T18:41:31.000Z
Shipping Cost: 24.78 AUD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
Returns Accepted: Returns Accepted
Item must be returned within: 30 Days
Return policy details:
EAN: 9781108726818
UPC: 9781108726818
ISBN: 9781108726818
MPN: N/A
Item Height: 0.6 cm
Item Length: 22.9 cm
Item Width: 15.2 cm
Publisher: Cambridge University Press
Subject: Computer Science
Publication Year: 2021
Number of Pages: 75 Pages
Publication Name: Reconstructing Networks
Language: English
Type: Textbook
Item Weight: 154 g
Subject Area: Electrical Engineering
Author: Giulio Cimini, Tiziano Squartini, Rossana Mastrandrea
Format: Paperback
