Mathematical Foundations and Applications of Graph Entropy

This comprehensive volume offers researchers and graduate students a thorough examination of graph entropy methods within quantitative graph theory, bridging mathematical foundations with practical network analysis applications. The text systematically presents current computational techniques for determining network entropy while exploring the mathematical properties that underpin these measurement approaches. Readers will find rigorous coverage of entropy-related concepts that span from theoretical graph properties to computational implementations, making it an essential resource for those working in network biology and complex systems analysis.

What distinguishes this work is its unique positioning as the first dedicated coverage of the emerging quantitative graph theory field, backed by an international team of specialists who provide both depth and breadth. The material progresses logically from mathematical theory to real-world biological applications, offering readers practical insights into how entropy measures can illuminate network structures in research settings. For computational biologists, network scientists, and mathematics researchers, this represents a significant advancement in the systematic study of complex networks through entropy-based quantification.