UID:
almafu_9959327393802883
Umfang:
1 online resource
ISBN:
9783527693245
,
3527693246
,
9783527693221
,
352769322X
,
3527339094
,
9783527339099
Serie:
Quantitative and network biology series ; volume 6
Inhalt:
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.
Anmerkung:
Entropy and Renormalization in Chaotic Visibility Graphs / Bartolo Luque, Fernando Javier Ballesteros, Alberto Robledo, Lucas Lacasa -- Generalized Entropies of Complex and Random Networks / Vladimir Gudkov -- Information Flow and Entropy Production on Bayesian Networks / Sosuke Ito, Takahiro Sagawa -- Entropy, Counting, and Fractional Chromatic Number / Seyed Saeed Changiz Rezaei -- Graph Entropy: Recent Results and Perspectives / Xueliang Li, Meiqin Wei -- Statistical Methods in Graphs: Parameter Estimation, Model Selection, and Hypothesis Test / Suzana de Siqueira Santos, Daniel Yasumasa Takahashi, Joao Ricardo Sato, Carlos Eduardo Ferreira, Andre Fujita -- Graph Entropies in Texture Segmentation of Images / Martin Welk -- Information Content Measures and Prediction of Physical Entropy of Organic Compounds / Chandan Raychaudhury, Debnath Pal -- Application of Graph Entropy for Knowledge Discovery and Data Mining in Bibliometric Data / Andre Calero Valdez, Matthias Dehmer, Andreas Holzinger.
Sprache:
Englisch
Schlagwort(e):
Electronic books.
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/9783527693245
