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.
| ISBN-13: | 9783527339099 |
| ISBN-10: | 3527339094 |
| Publisher: | John Wiley & Sons |
| Publication date: | 2017-09-12 |
| Edition description: | 1 |
| Pages: | 296 |
| Product dimensions: | Height: 9.799193 Inches, Length: 6.700774 Inches, Weight: 1.1500193434968 Pounds, Width: 0.799211 Inches |
| Author: | Matthias Dehmer, Frank Emmert-Streib, Zengqiang Chen, Xueliang Li, Yongtang Shi |
| Language: | en |
| Binding: | Hardcover |
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