Graphs and Network is a unique blend of mathematics and data science that can be used by mathematicians, data scientists, engineers, physicists, economists, computer scientists, and anyone else who is interested in the study of graphs and networks. It explores topics like minors and connectomes and discusses connections between research in theory of networks and applications such as social media, citation analysis, and transportation networks. The book covers not only basic graph structures but also advanced topics such as planar graphs. Graphs & Network includes both applications and theorems, with a range of examples coming from various fields including biology, economics, politics, social sciences, and engineering. For more advanced readers who are dedicated to learning more, the book has the required computational tools for working with graphs, as well as exercises to challenge readers' abilities. Finally, an important part of Graphs&Network is its research outcomes. Discussion about research work in the field of network analysis provides practical guidance to students or any others who wish to pursue career in this research area. Moreover, readers will find plenty of open-source resources, secondary literature that focus on networks, websites that explain how network problems are employed in different industries, etc., are presented throughout the text which are valuable sources for more in-depth investigations.
Электронная Книга «Graphs and Networks» написана автором S. R. Kingan в году.
Минимальный возраст читателя: 0
Язык: Английский
ISBN: 9781118937273
Описание книги от S. R. Kingan
Graphs 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, coloring, 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 toward graph structure theory and combinatorial optimization. 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
