Reconstructing Networks
Book Details
Format
Paperback / Softback
ISBN-10
110872681X
ISBN-13
9781108726818
Publisher
Cambridge University Press
Imprint
Cambridge University Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Sep 9th, 2021
Print length
75 Pages
Weight
168 grams
Dimensions
22.70 x 22.90 x 0.90 cms
Product Classification:
Discrete mathematicsStatistical physicsMathematical physicsMaths for computer scientists
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This Element provides an overview of the ideas, methods and techniques to deal with the problem of missing information in complex networks datasets.
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.
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