The Structure and Function of Complex Networks
by M. E. J. Newman
Publisher: arXiv 2003
Number of pages: 58
Inspired by empirical studies of networked systems such as the Internet, social networks, and biological networks, researchers have in recent years developed a variety of techniques and models to help us understand or predict the behavior of these systems. Here we review developments in this field, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.
Home page url
Download or read it online for free here:
by Eugene Blanchard
The book introduces the concepts of data communication, assuming no previous knowledge of networking and data communications. The text is at an introductory level, but it provides links to resources that provide indepth explanations.
by Francis daCosta - Springer
'Rethinking the Internet of Things' describes reasons why we must rethink current approaches to the Internet of Things. Appropriate architectures that will coexist with existing networking protocols are described in detail ...
by Jeffrey Needham - O'Reilly Media
Internet-scale computing (big data) has more disruptive potential than any information technology in the past. As author points out in this book, big data can provide unprecedented insight into user habits, giving enterprises a huge market advantage.
by David Griffin - Crete University Press
This book addresses the technologies and methods required for the management of broadband networks and services. It introduces relevant background information and presents detailed technical descriptions, covering a range of topics.