What Is Quantitative Graph Theory
作者： Matthias Dehmer , Veronika Kraus , Frank Emmert-Streib , Stefan Pickl
DOI: 10.1201/B17645-2
关键词:
摘要: The first book devoted exclusively to quantitative graph theory, Quantitative Graph Theory: Mathematical Foundations and Applications presents demonstrates existing novel methods for analyzing graphs quantitatively. Incorporating interdisciplinary knowledge from information measurement statistical techniques, this covers a wide range of quantitative-graph theoretical concepts methods, including those pertaining real random such as: Comparative approaches (graph similarity or distance) Graph measures characterize quantitatively Applications in social network analysis other disciplines Metrical properties measures Mathematical theory Network complexity topological indices Quantitative using machine learning (e.g., clustering) Graph statistics Information-theoretic analyze quantitatively entropy) Through its broad coverage, fills gap the contemporary literature discrete applied mathematics, computer science, systems biology, related disciplines. It is intended researchers as well graduate advanced undergraduate students fields mathematical chemistry, cheminformatics, physics, bioinformatics, biology.
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