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Structural Analysis of Complex Networks
Hardcover
ISBN13: 9780817647889
Publisher: Springer Nature
Published: Oct 27 2010
Pages: 486
Weight: 1.93
Height: 1.06 Width: 6.14 Depth: 9.21
Language: English
Filling a gap in literature, this self-contained book presents theoretical and application-oriented results that allow to structurally explore complex networks. The work focuses not only on classical graph-theoretic methods, but also demonstrates the usefulness of structural graph theory as a tool for solving interdisciplinary problems. Applications to biology, chemistry, linguistics and data analysis are emphasized.
The book is suitable for a broad, interdisciplinary readership of researchers, practitioners, and graduate students in discrete mathematics, statistics, computer science, machine learning, artificial intelligence, computational and systems biology, cognitive science, computational linguistics, and mathematical chemistry. It may also be used as a supplementary textbook in graduate-level seminars on structural graph analysis, complex networks, or network-based machine learning methods.
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