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OverviewNetwork Science is the emerging field concerned with the study of large, realistic networks. This interdisciplinary endeavor, focusing on the patterns of interactions that arise between individual components of natural and engineered systems, has been applied to data sets from activities as diverse as high-throughput biological experiments, online trading information, smart-meter utility supplies, and pervasive telecommunications and surveillance technologies. This unique text/reference provides a fascinating insight into the state of the art in network science, highlighting the commonality across very different areas of application and the ways in which each area can be advanced by injecting ideas and techniques from another. The book includes contributions from an international selection of experts, providing viewpoints from a broad range of disciplines. It emphasizes networks that arise in nature—such as food webs, protein interactions, gene expression, and neural connections—and in technology—such as finance, airline transport, urban development and global trade. Topics and Features: begins with a clear overview chapter to introduce this interdisciplinary field; discusses the classic network science of fixed connectivity structures, including empirical studies, mathematical models and computational algorithms; examines time-dependent processes that take place over networks, covering topics such as synchronisation, and message passing algorithms; investigates time-evolving networks, such as the World Wide Web and shifts in topological properties (connectivity, spectrum, percolation); explores applications of complex networks in the physical and engineering sciences, looking ahead to new developments in the field. Researchers and professionals from disciplines as varied as computer science, mathematics, engineering, physics, chemistry, biology, ecology, neuroscience, epidemiology, and the social sciences will all benefit from this topical and broadoverview of current activities and grand challenges in the unfolding field of network science. Full Product DetailsAuthor: Ernesto Estrada , Maria Fox , Desmond J. Higham , Gian-Luca OppoPublisher: Springer London Ltd Imprint: Springer London Ltd Edition: 2010 ed. Dimensions: Width: 15.50cm , Height: 1.40cm , Length: 23.50cm Weight: 0.454kg ISBN: 9781447160342ISBN 10: 1447160347 Pages: 245 Publication Date: 04 November 2014 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsComplex Networks: An Invitation Resistance Distance, Information Centrality, Node Vulnerability and Vibrations in Complex Networks From Topology to Phenotype in Protein-Protein Interaction Networks Networks and Models with Heterogeneous Population Structure in Epidemiology NESSIE: Network Example Source Supporting Innovative Experimentation Networks in Urban Design: Six Years of Research in Multiple Centrality Assessment The Structure of Financial Networks A Hierarchy of Networks Spanning from Individual Organisms to Ecological Landscapes Revealing Structure of Complex Biological Systems Using Bayesian Networks Dynamics and Statistics of Extreme Events Dynamics of Networks of Leaky-Integrate-and-Fire NeuronsReviewsFrom the reviews: Unlike many existing books that address mathematical network science or that focus on a single application area, this book collects papers written by experts specializing in different fields. ... the goal of this book is to broaden the view of readers. It focuses on applications of network science rather than on the mathematics of network analysis. It is suitable for readers with any background. (Hsun-Hsien Chang, ACM Computing Reviews, March, 2011) From the reviews: Unlike many existing books that address mathematical network science or that focus on a single application area, this book collects papers written by experts specializing in different fields. ... the goal of this book is to broaden the view of readers. It focuses on applications of network science rather than on the mathematics of network analysis. It is suitable for readers with any background. (Hsun-Hsien Chang, ACM Computing Reviews, March, 2011) Author InformationTab Content 6Author Website:Countries AvailableAll regions |
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