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.
Marc Barthélemy is Senior Researcher at the Institute for Theoretical Physics (IPhT) at the Commissariat à l'Énergie Atomique et aux Energies Alternatives (CEA), France. His research interests are in the application of statistical physics to complex systems.
Alessandro Vespignani is Sternberg Distinguished Professor in Physics, Computer Science and Health Science at Northeastern University, USA. He is also Fellow of the Institute for Quantitative Social Sciences at Harvard University and Scientific Director of the Institute for Scientific Interchange Foundation in Italy.
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Da: Grey Matter Books, Hadley, MA, U.S.A.
Soft cover. Condizione: Fine. Fine, glossy cover, bright and clean inside. Codice articolo 005174
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. 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. Codice articolo 9781107626256
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Condizione: New. Codice articolo I-9781107626256
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 361. Codice articolo 2642173957
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Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. reprint edition. 347 pages. 9.50x6.75x1.00 inches. In Stock. Codice articolo __1107626250
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Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. pp. 361 98 Illus. Codice articolo 49560026
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Da: Ria Christie Collections, Uxbridge, Regno Unito
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Condizione: New. 2012. Illustrated. paperback. An in-depth account on complex connectivity patterns for graduates and researchers in statistical mechanics, mathematical biology and information science. Num Pages: 361 pages, 98 b/w illus. BIC Classification: PBV; PHS; PHU; UT. Category: (P) Professional & Vocational. Dimension: 245 x 174 x 20. Weight in Grams: 666. 361 pages, 98 b/w illus. An in-depth account on complex connectivity patterns for graduates and researchers in statistical mechanics, mathematical biology and information science. Cateogry: (P) Professional & Vocational. BIC Classification: PBV; PHS; PHU; UT. Dimension: 245 x 174 x 20. Weight: 666. . . . . . Codice articolo V9781107626256
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Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. 2012. Illustrated. paperback. An in-depth account on complex connectivity patterns for graduates and researchers in statistical mechanics, mathematical biology and information science. Num Pages: 361 pages, 98 b/w illus. BIC Classification: PBV; PHS; PHU; UT. Category: (P) Professional & Vocational. Dimension: 245 x 174 x 20. Weight in Grams: 666. 361 pages, 98 b/w illus. An in-depth account on complex connectivity patterns for graduates and researchers in statistical mechanics, mathematical biology and information science. Cateogry: (P) Professional & Vocational. BIC Classification: PBV; PHS; PHU; UT. Dimension: 245 x 174 x 20. Weight: 666. . . . . . Books ship from the US and Ireland. Codice articolo V9781107626256
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Da: CitiRetail, Stevenage, Regno Unito
Paperback. Condizione: new. Paperback. 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781107626256
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