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.
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by Sharam Hekmat - PragSoft Corporation
This book is concerned with post-computer communication networks and two of its streams: data communication and telecommunication. It provides a coverage of the key concepts and techniques, so as to prepare readers for more advanced discussions.
by Gordon Brebner - McGraw-Hill
The book is focused tightly on matters concerned with communication, it avoids excursions into other areas of computer science. The reader requires no background in computer communications, only a basic familiarity with computers in general.
by Kathy Ivens, Clark Scheffy - USRobotics
We think that if you have more than one computer in your home, you should have a network. That belief has its roots in the fact that we're generally lazy, and we believe everyone should do everything in the easiest possible manner.
by Martin Dodge, Rob Kitchin - Pearson Education
The authors show off a wide range of possibilities in representing the data existing on the Internet. Since so many of these models were created to display never-before-charted territories, the book is largely devoted to analyzing their accuracy.