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EVOLUTION OF NETWORKS. FROM BIOLOGICAL NETS TO THE INTERNET AND WWW
Título:
EVOLUTION OF NETWORKS. FROM BIOLOGICAL NETS TO THE INTERNET AND WWW
Subtítulo:
Autor:
DOROGOVTSEV, S
Editorial:
OXFORD UNIVERSITY PRESS
Año de edición:
2013
Materia
REDES DE ORDENADORES
ISBN:
978-0-19-968671-1
Páginas:
280
64,50 €

 

Sinopsis

First comprehensive description of the concepts of network science
Concise, easily-understandable handling of a hot topic
The Internet and World Wide Web are having a profound effect on our lives



We live in a world of networks, where everything is amazingly close to everything else. The notion of ´network´ turns out to be central to our times: the Internet and WWW are changing our lives; our physical existence is based on various biological networks; we are involved in all-enveloping networks of economic and social relations.

Only in the 1990s did physicists begin to explore real networks, both natural and artificial, as evolving systems with intriguingly complex and effective architectures. Progress has been so immediate and astounding that we actually face a new science based on a new set of concepts, and, one may even say, on a new philosophy: the natural philosophy of a small world. Old ideas from mathematics, statistical physics, biology, computer science, and so on take on quite new forms in applications to real evolving networks.

- What is common to all networks?
- What are the general principles of the organization and evolution of networks?
- How do the laws of nature work in communication, biological, and social networks?
- What are networks?

This book, written by physicists, answers these questions and presents a general insight into the world of networks.



Table of Contents
0:Modern architecture of random graphs
1:What are networks?
2:Popularity is attractive
3:Real networks
4:Equilibrium networks
5:Non-equilibrium networks
6:Global topology of networks
7:Growth of networks and self-organized criticality
8:Philosophy of a small world
A:Relations for an adjacency matrix
B:How to measure a distribution
C:Statistics of cliques
D:Power-law preference
E:Inhomogenous growing net
F:Z-transform
G:Critical phenomena in networks
H:A guide to the network literature