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Look Inside Network Science

Network Science

$59.99 (X)

textbook Award Winner
  • Date Published: August 2016
  • availability: In stock
  • format: Hardback
  • isbn: 9781107076266

$ 59.99 (X)
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About the Authors
  • Networks are everywhere, from the internet, to social networks, and the genetic networks that determine our biological existence. Illustrated throughout in full colour, this pioneering textbook, spanning a wide range of topics from physics to computer science, engineering, economics and the social sciences, introduces network science to an interdisciplinary audience. From the origins of the six degrees of separation to explaining why networks are robust to random failures, the author explores how viruses like Ebola and H1N1 spread, and why it is that our friends have more friends than we do. Using numerous real-world examples, this innovatively designed text includes clear delineation between undergraduate and graduate level material. The mathematical formulas and derivations are included within Advanced Topics sections, enabling use at a range of levels. Extensive online resources, including films and software for network analysis, make this a multifaceted companion for anyone with an interest in network science.

    • Uses an interdisciplinary perspective with examples from across scientific and social science fields, making it accessible to students of various subjects
    • Supported by a fully interactive online version with numerous multimedia resources to assist students in their learning
    • The first textbook of its kind in a rapidly expanding field
    Read more

    Awards

    • Winner, 2017 PROSE Award for Textbook/Best in Physical Sciences and Mathematics

    Reviews & endorsements

    'Network Science introduces the reader to basic graph-theory notions, elements of data analysis, statistics, and some of the computational and modeling methods that allow us to interrogate network data sets. Throughout, the book illustrates those ideas with concrete and intuitive examples that also help achieve its main purpose, which is to instill network-based thinking in the reader. The writing is engaging, peppered throughout with stories, anecdotes, and historical connections … Its discussion of the spread of disease in particular clearly illustrates the necessity of network thinking in solving a fundamental and practical problem that affects us all. The book is carefully structured and visually pleasing, with lots of colorful diagrams, figures, tables, and schematics to help convey fundamental concepts and ideas. Its pedagogical value is significantly enhanced by a Tufte-style exposition that recognizes and works with the nonlinear character of learning. The wide margins contain bits of information … that expand on the main text.' Zoltán Toroczkai, Physics Today

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    Product details

    • Date Published: August 2016
    • format: Hardback
    • isbn: 9781107076266
    • length: 475 pages
    • dimensions: 254 x 197 x 26 mm
    • weight: 1.17kg
    • contains: 371 colour illus. 12 tables 30 exercises
    • availability: In stock
  • Table of Contents

    Preface
    Personal introduction
    1. Introduction
    2. Graph theory
    3. Random networks
    4. The scale-free property
    5. The Barabási–Albert model
    6. Evolving networks
    7. Degree correlation
    8. Network robustness
    9. Communities
    10. Spreading phenomena
    Index.

  • Author

    Albert-László Barabási, Northeastern University, Boston
    Albert-László Barabási is Robert Gray Dodge Professor of Network Science and Director of the Center for Complex Network Research at Northeastern University, with appointments at Harvard Medical School and the Central European University in Budapest. His work in network science has led to the discovery of scale-free networks and elucidated many key network properties, from robustness to control. He is a Fellow of the American Physical Society, the AAAS (Physics) and the Massachusetts Academy of Sciences, and is a recipient of numerous international awards.

    With

    Márton Pósfai

    Awards

    • Winner, 2017 PROSE Award for Textbook/Best in Physical Sciences and Mathematics

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