Graphs and Networks
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Graphs and Networks
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See moreGraphs and Networks
A unique blend of graph theory and network science for mathematicians and data science professionals alike.
Featuring topics such as minors, connectomes, trees, distance, spectral graph theory, similarity, centrality, small-world networks, scale-free networks, graph algorithms, Eulerian circuits, Hamiltonian cycles, colouring, higher connectivity, planar graphs, flows, matchings, and coverings, Graphs and Networks contains modern applications for graph theorists and a host of useful theorems for network scientists.
The book begins with applications to biology and the social and political sciences and gradually takes a more theoretical direction towards graph structure theory and combinatorial optimisation. A background in linear algebra, probability, and statistics provides the proper frame of reference.
Graphs and Networks also features:
- Applications to neuroscience, climate science, and the social and political sciences
- A research outlook integrated directly into the narrative with ideas for students interested in pursuing research projects at all levels
- A large selection of primary and secondary sources for further reading
- Historical notes that hint at the passion and excitement behind the discoveries
- Practice problems that reinforce the concepts and encourage further investigation and independent work
Book Details
INFORMATION
ISBN: 9781118937181
Publisher: John Wiley & Sons Inc
Format: Hardback
Date Published: 29 April 2022
Country: United States
Imprint: John Wiley & Sons Inc
Audience: Professional and scholarly
DIMENSIONS
Spine width: 23.0mm
Width: 155.0mm
Height: 231.0mm
Weight: 567g
Pages: 288
About the Author
S. R. Kingan is an Associate Professor of Mathematics at Brooklyn College and the Graduate Center of The City University of New York. Dr. Kingan’s research interests include graph theory, matroid theory, combinatorial algorithms, and their applications.
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