An in-depth account on complex connectivity patterns for graduates and researchers in statistical mechanics, mathematical biology and information science.
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Alain Barrat is Senior Researcher at the Centre de Physique Théorique (CNRS and Aix-Marseille University, France) and at the Institute for Scientific Interchange in Turin, Italy. His research interests are in the field of out-of-equilibrium statistical mechanics.
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Zustand: New. pp. 366 Illus., Maps. Bestandsnummer des Verkäufers 8367715
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Zustand: New. An in-depth account on complex connectivity patterns for graduates and researchers in statistical mechanics, mathematical biology and information science. Num Pages: 366 pages, 98 b/w illus. BIC Classification: PBW; PHS; UT. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 257 x 182 x 22. Weight in Grams: 794. . 2008. 1st Edition. hardcover. . . . . Bestandsnummer des Verkäufers V9780521879507
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Hardcover. Zustand: new. Hardcover. The availability of large data sets has allowed researchers to uncover complex properties such as large-scale fluctuations and heterogeneities in many networks, leading to the breakdown of standard theoretical frameworks and models. Until recently these systems were considered as haphazard sets of points and connections. Recent advances have generated a vigorous research effort in understanding the effect of complex connectivity patterns on dynamical phenomena. This book presents a comprehensive account of these effects. A vast number of systems, from the brain to ecosystems, power grids and the internet, can be represented as large complex networks. This book will interest graduate students and researchers in many disciplines, from physics and statistical mechanics to mathematical biology and information science. Its modular approach allows readers to readily access the sections of most interest to them, and complicated maths is avoided so the text can be easily followed by non-experts in the subject. An in-depth account on the effect of complex connectivity patterns on dynamical phenomena, this book will interest graduate students and researchers in many disciplines, from physics and statistical mechanics to mathematical biology and information science. Its modular approach allows readers to easily access the sections of most interest to them. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9780521879507
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