This networking textbook is written by Mark Newman, Anatol Rapoport Distinguished University Professor of Physics at the University of Michigan. The book provides an extensive overview of the scientific study of various networks, such as computer, social, and biological networks. It discusses theoretical insights and practical analysis techniques that are essential for researchers and professionals in a wide range of disciplines.
Contents and applications
The book covers measurement methods of networks, analysis tools from physics, statistics, and sociology, basic principles of graph theory, algorithms, and mathematical network models. It also addresses theories of dynamic processes on networks, including generative and random graph models. This interdisciplinary work offers in-depth knowledge for anyone who wants to delve into the study of complex networks.
Product specifications
- Author: Mark Newman (Anatol Rapoport Distinguished University Professor of Physics, University of Michigan, USA)
- Publisher: Oxford University Press
- Publication date: 2018-07-26
- Number of pages: 800
- ISBN: 9780198805090
- Subject: Computer networking and communications
- BISAC: COMPUTERS / Computer Science
About the author
Mark Newman earned his PhD at the University of Oxford and worked as a postdoctoral researcher at Cornell University. He was affiliated with the Santa Fe Institute, specializing in complex systems, before he became a university lecturer at the University of Michigan. There, he holds the position of Anatol Rapoport Distinguished University Professor of Physics and is active in the Center for the Study of Complex Systems.