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Mathematical Foundations and Applications of Graph Entropy

 E-Book
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9783527693221
Veröffentl:
2016
Einband:
E-Book
Seiten:
296
Autor:
Matthias Dehmer
Serie:
Quantitative and Network Biology
eBook Typ:
PDF
eBook Format:
Reflowable E-Book
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:

This latest addition to the successful Network Biology series presents current methods for determining the entropy of networks, making it the first to cover the recently established Quantitative Graph Theory. An excellent international team of editors and contributors provides an up-to-date outlook for the field, covering a broad range of graph entropy-related concepts and methods. The topics range from analyzing mathematical properties of methods right up to applying them in real-life areas. Filling a gap in the contemporary literature this is an invaluable reference for a number of disciplines, including mathematicians, computer scientists, computational biologists, and structural chemists.
This latest addition to the successful Network Biology series presents current methods for determining the entropy of networks, making it the first to cover the recently established Quantitative Graph Theory.An excellent international team of editors and contributors provides an up-to-date outlook for the field, covering a broad range of graph entropy-related concepts and methods. The topics range from analyzing mathematical properties of methods right up to applying them in real-life areas.Filling a gap in the contemporary literature this is an invaluable reference for a number of disciplines, including mathematicians, computer scientists, computational biologists, and structural chemists.
Introduction to Graph EntropyEntropy of Horizontal Visibility GraphsMeasuring network's entropy in ADHD: A new approach to investigate neuropsychiatric disordersStatistical methods in graphs: estimation, model selection, and testGraph entropies and text texture measuresGraph Complexity: An Information Theoretical ApproachPrediction of Molecular Properties and Activities using Information-Theoretical Topological IndicesGeneralized entropies of complex and random networksIdentifying node importance based on information entropy in complex networksTime Latency in Networked Operations: Effect of Human in The LoopInformation flow and entropy production on Bayesian networksApplications of graph entropyEntropy, Counting, and Graphs

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