Complex Networks

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This volume is devoted to the applications of techniques from statistical physics to the characterization and modeling of complex networks. The first two parts of the book concern theory and modeling of networks, the last two parts survey applications to a wide variety of natural and artificial networks. The tutorial reviews that form this book are aimed at students and newcomers to the field, and will also constitute a modern and comprehensive reference for experts. To this aim, all contributions have been carefully peer-reviewed not only for scientific content but also for self-consistency and readability.

Includes supplementary material: sn.pub/extras

Autorentext
A leader in physics research for more than half a century, Hans Frauenfelder spent 40 years as a professor and researcher at the University of Illinois before moving on to Los Alamos Laboratory, where he is currently the director for the Center for Nonlinear Studies. Frauenfelder has been elected to the National Academy of Sciences, the American Academy of Arts and Sciences, the Academy Leopoldina and the American Philosophical Society. He also is the recipient of numerous prestigious scientific fellowships and honors. Eli Ben-Naim is a member of the Theoretical Division and an affiliate of the Center for Nonlinear Studies at Los Alamos National Laboratory. He conducts research in statistical, nonlinear, and soft condensed-matter physics, including the collective dynamics of interacting particle and granular systems.

Klappentext

This volume is devoted to applications of the techniques of statistical physics to the characterization and modeling of complex networks. The first two parts of the book concern theory and modeling of networks, while the last two parts survey applications to a wide variety of natural and artificial networks. The tutorial reviews that comprise this book are intended for students and newcomers to the field, and they also constitute a modern and comprehensive reference for experts. To this aim, all contributions have been carefully peer-reviewed not only for scientific content but also for self-consistency and readability.

Inhalt
Network Structure.- Network Dynamics.- Information Networks and Social Networks.- Biological Networks.