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Top rated graph theory books

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Top rated graph theory books

Here are some top-rated graph theory books, widely recommended by experts and students alike:

  1. "Graph Theory" by Douglas B. West: This textbook is considered a classic in the field, providing a comprehensive introduction to graph theory. (Rating: 4.5/5 on Amazon)
  2. "Introduction to Graph Theory" by Richard J. Trudeau: This book is known for its clear explanations and numerous examples, making it an excellent resource for beginners. (Rating: 4.4/5 on Amazon)
  3. "Graph Theory with Applications" by J.A. Bondy and U.S.R. Murty: This textbook covers a wide range of topics, from basic concepts to advanced applications, and is suitable for both undergraduate and graduate students. (Rating: 4.4/5 on Amazon)
  4. "Applied Combinatorics" by Alan Tucker: While not exclusively focused on graph theory, this book covers many aspects of combinatorics, including graph theory, and is highly regarded for its clarity and examples. (Rating: 4.4/5 on Amazon)
  5. "Graphs & Digraphs" by Gary Chartrand, Linda Lesniak, and Ping Zhang: This textbook provides a comprehensive introduction to graph theory, including directed graphs (digraphs), and is known for its clear explanations and exercises. (Rating: 4.3/5 on Amazon)
  6. "A Course in Graph Theory" by Dean G. Kelley: This book covers the basics of graph theory, including graph isomorphism, connectivity, and coloring, and is suitable for undergraduate students. (Rating: 4.3/5 on Amazon)
  7. "Graph Theory" by Reinhard Diestel: This graduate-level textbook covers advanced topics in graph theory, including the theory of infinite graphs and graph minors. (Rating: 4.5/5 on Amazon)
  8. "Modern Graph Theory" by Béla Bollobás: This book provides a comprehensive introduction to modern graph theory, covering topics such as random graphs, graph limits, and extremal graph theory. (Rating: 4.5/5 on Amazon)

These books are highly rated and widely used in academia, and can serve as an excellent starting point for anyone interested in learning graph theory.

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Note: Ratings are subject to change and may vary depending on the source.

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