Dehmer, Matthias
Mathematical Foundations and Applications of Graph Entropy
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.
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.
Keywords: graph theory, entropy methods, network properties, computational biology
- Editor
- Dehmer, Matthias
- Emmert-Streib, Frank
- Chen, Zengqiang
- Li, Xueliang
- Shi, Yongtang
- Publisher
- John Wiley and Sons, Inc.
- Publication year
- 2016
- Language
- en
- Edition
- 1
- Series
- Quantitative and Network Biology
- Page amount
- 296 pages
- Category
- Medicine, Health Care, Mode
- Format
- Ebook
- eISBN (ePUB)
- 9783527693252
- Printed ISBN
- 9783527693221