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Overview
All papers were peer-reviewed. The main goal of this conference is to combine the theories of statistical physics and random graph with the fundamental principles that govern the structure, function, and evolution of biological networks and modules. Applications to the Internet and WWW are also considered. In this proceedings, the reader will find an overview of the state-of-the-art of the new and fast growing field of complex networks.
Synopsis
In these proceedings from the August-September 2004 conference, contributors of 25 of the papers present their research in this relatively new interdisciplinary area, which incorporates physics, biology, and computer science and other fields. General topics include the structure and dynamics of networks with papers on self-avoiding polymer chains, network dependence of the dilemmas of cooperation and random Feynman graphs; information and processes on networks such as in self-organized-critical network dynamics, entrainment of complex oscillator networks and a method for decentralized optimization in networks; and biological networks, social networks and applications, including modeling epidemics with dynamic small-world networks, community structure from spectral properties in complex networks, and a paper on the three degrees of inclusion in the gossip effect. Annotation ©2005 Book News, Inc., Portland, OR