Mathematical Foundations and Applications of Graph Entropy
Edited by Matthias Dehmer Edited by Frank Emmert-Streib Edited by Zengqiang Chen Edited by Xueliang Li Edited by Yongtang Shi Series edited by Matthias Dehmer Series edited by Frank Emmert-Streib
Hardback (Published)
(September 2016)
ISBN: 9783527339099
6.69 x 9.61 inches
Price: $207.00
On back order
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 Entropy
Entropy of Horizontal Visibility Graphs
Measuring network's entropy in ADHD: A new approach to investigate neuropsychiatric disorders
Statistical methods in graphs: estimation, model selection, and test
Graph entropies and text texture measures
Graph Complexity: An Information Theoretical Approach
Prediction of Molecular Properties and Activities using Information-Theoretical Topological Indices
Generalized entropies of complex and random networks
Identifying node importance based on information entropy in complex networks
Time Latency in Networked Operations: Effect of Human in The Loop
Information flow and entropy production on Bayesian networks
Applications of graph entropy
Entropy, Counting, and Graphs
- Edited by Matthias Dehmer
- Edited by Frank Emmert-Streib
- Edited by Zengqiang Chen
- Edited by Xueliang Li
- Edited by Yongtang Shi
- Series edited by Matthias Dehmer
- Series edited by Frank Emmert-Streib