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Random Networks for Communication: From Statistical Physics to Information Systems

1 rating: 5.0
A book by Massimo Franceschetti

"The book is a clear, readable and highly intuitive introduction to the properties and applications of random network models that also provides all the rigorous details or invites the read to fill them in, in the exercises section. ... The balance … see full wiki

Author: Massimo Franceschetti
Publisher: Cambridge University Press
1 review about Random Networks for Communication: From...

The book to read if you want to understand how random graphs can be used to describe any kind of network

  • Jun 24, 2010
Rating:
+5
It is more realistic to consider the graphs describing computer networks to be pseudorandom rather than random. In other words, they have an underlying deterministic structure but the outward appearance is one of randomness. Computers on a network will wink on and off depending on power outages, scheduled maintenance and their current load. As information passes from node to node in a network, the movement of the data can be modeled using percolation theory, which is an area of random graphs. Therefore, the modern creator or manager of a large network must possess some knowledge of random graphs. This book provides that essential knowledge.
The reader must have prior knowledge of calculus, probability and Poisson distributions in order to understand the demonstrations and theorems and the material is presented in a very clear and understandable manner. A small set of exercises appears at the end of each chapter but solutions are not included.
The chapter headings are:

*) Phase transitions in finite networks
*) Connectivity of finite networks
*) More on phase transitions
*) Information flow in random networks
*) Navigation in random networks

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