Networks
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The study of networks has attracted enormous interest in recent years, and this book brings together the most important breakthroughs in computer networks, social networks and biological networks, presenting them in a coherent fashion
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What Stands Out
Product Details
- Comprehensive study of networks, including computer networks, social networks, and biological networks
- Highlights the strong interconnections between work in different areas such as mathematics, physics, computer science, and social sciences
- Covers topics like measuring and analyzing network data, graph theory, computer algorithms, and mathematical models of networks
- Includes theories of dynamical processes happening on networks
- Presents the most important breakthroughs in network research in a coherent and organized manner
- Suitable for interdisciplinary study and for anyone interested in the study of networks
| Publisher | Oxford University Press |
| Publication date | September 19, 2018 |
| Edition | 2nd |
| Language | English |
| Print length | 800 pages |
| ISBN-10 | 0198805098 |
| ISBN-13 | 978-0198805090 |
| Item Weight | 4.1 pounds (1.86 kg) |
| Dimensions | 9.8 x 7.5 x 1.7 inches (24.9 x 19.1 x 4.3 cm) |
Who Should Buy?
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Students in IT
Ideal for IT students seeking a comprehensive understanding of networking fundamentals and advanced concepts.
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Network Professionals
Network engineers and administrators will benefit from in-depth knowledge used for troubleshooting and network design.
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Educators and Trainers
A valuable resource for teachers or trainers developing networking courses or curriculum for their classrooms.
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Casual Users
Not suitable for users with minimal networking knowledge who require simple, user-friendly learning materials.
Product Description
Networks
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Intelligence & Semantics Editorial Review
Networks by Mark Newman covers contemporary knowledge of network science, masterfully describing commonly used graph analytic algorithms in a clear and concise way with examples, problems and applications from several fields. This book is an extraordinary contribution to the field of networks and a comprehensive field guide for anyone studying networks, from physicists to neuroscientists, biologists, and data scientists. This version contains new material such as sections on network synchronization and community detection, which were missing in the 1st edition. It is a must-have for anyone who wants to understand the networks that abound in our world.
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Pros
- Comprehensive coverage of contemporary knowledge of network science
- Clear and concise description of commonly used graph analytic algorithms
- Examples, problems, and applications in several fields
- New material added in the second edition
Cons
- Heavy volume of almost 2 kg, difficult to hold in hand
Product Price History
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Features & Benefits
- The book covers various aspects of network data analysis, including measurements, analysis methods and mathematical models of random graph models and generative models.
- The interdisciplinary nature of network studies is highlighted, with fields such as physics, statistics, sociology and biology playing pivotal roles.
- The book goes on to investigate dynamical processes taking place on networks, and covers fundamentals of graph theory and computer algorithms.
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