Random Graphs And Complex Networks

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Random Graphs and Complex Networks

Author	: Remco van der Hofstad
Publisher	: Cambridge University Press
Total Pages	: 341
Release	: 2017
ISBN-10	: 9781107172876
ISBN-13	: 110717287X
Rating	: 4/5 (87X Downloads)

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Book Synopsis Random Graphs and Complex Networks by : Remco van der Hofstad

Download or read book Random Graphs and Complex Networks written by Remco van der Hofstad and published by Cambridge University Press. This book was released on 2017 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This classroom-tested text is the definitive introduction to the mathematics of network science, featuring examples and numerous exercises.

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Random Graphs and Complex Networks

Authors: Remco van der Hofstad

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Type: BOOK - Published: 2017 - Publisher: Cambridge University Press

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This classroom-tested text is the definitive introduction to the mathematics of network science, featuring examples and numerous exercises.

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Random Graph Dynamics

Authors: Rick Durrett

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Type: BOOK - Published: 2010-05-31 - Publisher: Cambridge University Press

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The theory of random graphs began in the late 1950s in several papers by Erdos and Renyi. In the late twentieth century, the notion of six degrees of separation

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Introduction to Random Graphs

Authors: Alan Frieze

Categories: Mathematics

Type: BOOK - Published: 2016 - Publisher: Cambridge University Press

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The text covers random graphs from the basic to the advanced, including numerous exercises and recommendations for further reading.

Language: en
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Graph Theory and Complex Networks

Authors: Maarten van Steen

Categories: Graph theory

Type: BOOK - Published: 2010 - Publisher: Maarten Van Steen

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This book aims to explain the basics of graph theory that are needed at an introductory level for students in computer or information sciences. To motivate stud

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Complex Graphs and Networks

Authors: Fan R. K. Chung

Categories: Computers

Type: BOOK - Published: 2006 - Publisher: American Mathematical Soc.

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Graph theory is a primary tool for detecting numerous hidden structures in various information networks, including Internet graphs, social networks, biological