Title
Networks: An Introduction,Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 3–5 business days
- Estimated Delivery: 6–10 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
The scientific study of networks, including computer networks, social networks, and biological networks, has received an enormous amount of interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on a large scale, and the development of a variety of new theoretical tools has allowed us to extract new knowledge from many different kinds of networks.The study of networks is broadly interdisciplinary and important developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together for the first time the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas.Subjects covered include the measurement and structure of networks in many branches of science, methods for analyzing network data, including methods developed in physics, statistics, and sociology, the fundamentals of graph theory, computer algorithms, and spectral methods, mathematical models of networks, including random graph models and generative models, and theories of dynamical processes taking place on networks.To request a copy of the Solutions Manual, visit: http://global.oup.com/uk/academic/physics/admin/solutions
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the main focus of 'Networks: An Introduction'? A: 'Networks: An Introduction' focuses on the scientific study of networks across various fields, including computer, social, and biological networks. It covers measurement, structure, analysis methods, and theoretical frameworks related to networks.
- Q: Who is the author of this book? A: The author of 'Networks: An Introduction' is Mark Newman, a well-respected figure in the field of network science.
- Q: How many pages does this book have? A: 'Networks: An Introduction' contains 784 pages, providing a comprehensive overview of network theory and applications.
- Q: What is the binding type of this book? A: This book is available in hardcover binding, which offers durability and a professional appearance.
- Q: When was 'Networks: An Introduction' published? A: 'Networks: An Introduction' was published on May 20, 2010.
- Q: Is there a Solutions Manual available for this book? A: Yes, a Solutions Manual can be requested through the publisher's website at http://global.oup.com/uk/academic/physics/admin/solutions.
- Q: What subjects does this book cover? A: 'Networks: An Introduction' covers a range of subjects, including graph theory, computer algorithms, mathematical models of networks, and methods for analyzing network data.
- Q: What edition of the book is available? A: The available edition of 'Networks: An Introduction' is the first edition.
- Q: What condition is the book in? A: 'Networks: An Introduction' is in new condition, ensuring that readers receive a high-quality product.
- Q: Is this book suitable for beginners in network science? A: 'Networks: An Introduction' is designed to be accessible and covers foundational concepts, making it suitable for both beginners and those with prior knowledge in network science.