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Statistical Mechanics of Complex Networks (Lecture Notes in Physics) [Hardcover]

Romualdo Pastor-Satorras (Editor), Miguel Rubi (Editor), Albert Diaz-Guilera (Editor)

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Book Description

September 17, 2003 3540403728 978-3540403722 1
Networks can provide a useful model and graphic image useful for the description of a wide variety of web-like structures in the physical and man-made realms, e.g. protein networks, food webs and the Internet. The contributions gathered in the present volume provide both an introduction to, and an overview of, the multifaceted phenomenology of complex networks. Statistical Mechanics of Complex Networks also provides a state-of-the-art picture of current theoretical methods and approaches.

Editorial Reviews

Review

"The editors have done a very good job compiling this collection of essays written by leading experts in the field of statistical mechanics of networks. Although a book like this can never be entirely up-to-date, the articles reflect the current state of affairs very well. Most of them are self-contained and define the various terms and quantities carefully before using them. That leads to a certain amount of redundant information and overlap, yet it enables the reader to simply dip in and get a good idea of what the hot topics in complex networks are. I strongly recommend the book to anyone who wants to start her or his own work in complex networks." (Contemporary Physics 2005, 46, page 240-241)

From the Back Cover

Networks can provide a useful model and graphic image useful for the description of a wide variety of web-like structures in the physical and man-made realms, e.g. protein networks, food webs and the Internet. The contributions gathered in the present volume provide both an introduction to, and an overview of, the multifaceted phenomenology of complex networks. Statistical Mechanics of Complex Networks also provides a state-of-the-art picture of current theoretical methods and approaches.

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Inside This Book (learn more)
First Sentence:
In this contribution, we apply tools from statistical physics, in particular, the rate equations, to quantify geometrical properties of evolving networks [1]. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
infected vertex, edge betweenness, assortative mixing, empirical degree distribution, preferential linking, epidemic threshold, many real networks, interacting words, arbitrary degree distribution, real food webs, long range links, preferential links, clustering coefficient, human sexual contacts, percolation properties, coli metabolism, random attachment, epidemic prevalence, giant component, router level, connectivity distribution, rate equation approach, spanning cluster, percolation transition, scale free networks
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Little Rock Lake, Cambridge University Press, Santa Fe Institute, Department of Physics, Silwood Park, Ythan Estuary, Academic Press, Computer Networks, Membrane Clusters of Ion Channels, Monte Carlo, National Survey of Family Growth
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