Skip to content
Register Sign in Wishlist

Complex Networks
Principles, Methods and Applications

$81.99 (C)

  • Date Published: October 2017
  • availability: Available
  • format: Hardback
  • isbn: 9781107103184
Average user rating
(1 review)

$ 81.99 (C)
Hardback

Add to cart Add to wishlist

Other available formats:
eBook


Looking for an examination copy?

This title is not currently available for examination. However, if you are interested in the title for your course we can consider offering an examination copy. To register your interest please contact [email protected] providing details of the course you are teaching.

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • Networks constitute the backbone of complex systems, from the human brain to computer communications, transport infrastructures to online social systems and metabolic reactions to financial markets. Characterising their structure improves our understanding of the physical, biological, economic and social phenomena that shape our world. Rigorous and thorough, this textbook presents a detailed overview of the new theory and methods of network science. Covering algorithms for graph exploration, node ranking and network generation, among others, the book allows students to experiment with network models and real-world data sets, providing them with a deep understanding of the basics of network theory and its practical applications. Systems of growing complexity are examined in detail, challenging students to increase their level of skill. An engaging presentation of the important principles of network science makes this the perfect reference for researchers and undergraduate and graduate students in physics, mathematics, engineering, biology, neuroscience and the social sciences.

    • The first textbook integrating all aspects of network science, from fundamental principles to mathematical analysis and computational modelling
    • Provides a comprehensive selection of data sets of social, biological and technological complex networks
    • Includes detailed descriptions of computer algorithms for network analysis and modelling with corresponding implementations in C language freely available online
    • Presents the history of network science alongside the corresponding concepts and mathematical tools, by combining theory with the real-world applications that have inspired network models and algorithms
    Read more

    Reviews & endorsements

    'This is a substantial text which will serve a broad section of readers who wish to gain insights into complex networks. Some effort will be needed to get the most out of this book but the reader who expends that effort will be well-rewarded. In turn, the authors are to be congratulated for the effort that they have made to produce such a delightful text.' K. Alan Shore, Contemporary Physics

    'Thanks to its colloquial style, the extensive use of examples and the accompanying software tools and network data sets, this book is the ideal university-level textbook for a first module on complex networks. It can also be used as a comprehensive reference for researchers in mathematics, physics, engineering, biology and social sciences, or as a historical introduction to the main findings of one of the most active interdisciplinary research fields of the moment.' Mathematical Reviews Clippings

    See more reviews

    Customer reviews

    17th Oct 2024 by UName-1305388

    This book contains important features which referring to the study of centrality measures.

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Date Published: October 2017
    • format: Hardback
    • isbn: 9781107103184
    • length: 594 pages
    • dimensions: 253 x 194 x 28 mm
    • weight: 1.41kg
    • contains: 220 b/w illus. 25 tables 58 exercises
    • availability: Available
  • Table of Contents

    Preface
    Introduction
    1. Graphs and graph theory
    2. Centrality measures
    3. Random graphs
    4. Small-world networks
    5. Generalised random graphs
    6. Models of growing graphs
    7. Degree correlations
    8. Cycles and motifs
    9. Community structure
    10. Weighted networks
    Appendix
    References
    Author index
    Index.

  • Resources for

    Complex Networks

    Vito Latora, Vincenzo Nicosia, Giovanni Russo

    General Resources

    Find resources associated with this title

    Type Name Unlocked * Format Size

    Showing of

    Back to top

    This title is supported by one or more locked resources. Access to locked resources is granted exclusively by Cambridge University Press to instructors whose faculty status has been verified. To gain access to locked resources, instructors should sign in to or register for a Cambridge user account.

    Please use locked resources responsibly and exercise your professional discretion when choosing how you share these materials with your students. Other instructors may wish to use locked resources for assessment purposes and their usefulness is undermined when the source files (for example, solution manuals or test banks) are shared online or via social networks.

    Supplementary resources are subject to copyright. Instructors are permitted to view, print or download these resources for use in their teaching, but may not change them or use them for commercial gain.

    If you are having problems accessing these resources please contact [email protected].

  • Authors

    Vito Latora, Queen Mary University of London
    Vito Latora is Professor of Applied Mathematics and Chair of Complex Systems at Queen Mary University of London. Noted for his research in statistical physics and in complex networks, his current interests include time-varying and multiplex networks, and their applications to socio-economic systems and to the human brain.

    Vincenzo Nicosia, Queen Mary University of London
    Vincenzo Nicosia is a Lecturer in Networks and Data Analysis at the School of Mathematical Sciences at Queen Mary University of London. His research spans several aspects of network structure and dynamics, and his recent interests include multi-layer networks and their applications to big data modelling.

    Giovanni Russo, Università degli Studi di Catania, Italy
    Giovanni Russo is Professor of Numerical Analysis in the Department of Mathematics and Computer Science at the Università degli Studi di Catania, Italy, focusing on numerical methods for partial differential equations, with particular application to hyperbolic and kinetic problems.

Related Books

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email [email protected]

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×
warning icon

Turn stock notifications on?

You must be signed in to your Cambridge account to turn product stock notifications on or off.

Sign in Create a Cambridge account arrow icon
×

Find content that relates to you

Join us online

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.

Cancel

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×