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![]( "Buchcover ISBN 9781118211014")
„This book provides a comprehensive study of network science, specifically of different network classes and their respectiveproperties. The chapters are easy to understand, each containing anextensive introduction that prepares the reader for what is tofollow.“ (Computing Reviews, 1 November 2010)
„This fascinating book is a tour de force review of theapplication of network theory to a number of real-life and wildlydifferent areas.“ (Computing Reviews, July 2009)
A comprehensive look at the emerging science of networks
Network science helps you design faster, more resilientcommunication networks; revise infrastructure systems such aselectrical power grids, telecommunications networks, and airlineroutes; model market dynamics; understand synchronization inbiological systems; and analyze social interactions amongpeople.
This is the first book to take a comprehensive look at thisemerging science. It examines the various kinds of networks(regular, random, small-world, influence, scale-free, and social)and applies network processes and behaviors to emergence, epidemics, synchrony, and risk. The book's uniqueness lies in itsintegration of concepts across computer science, biology, physics, social network analysis, economics, and marketing.
The book is divided into easy-to-understand topical chapters andthe presentation is augmented with clear illustrations, problemsand answers, examples, applications, tutorials, and a discussion ofrelated Java software. Chapters cover:
* Origins
* Graphs
* Regular Networks
* Random Networks
* Small-World Networks
* Scale-Free Networks
* Emergence
* Epidemics
* Synchrony
* Influence Networks
* Vulnerability
* Net Gain
* Biology
This book offers a new understanding and interpretation of thefield of network science. It is an indispensable resource forresearchers, professionals, and technicians in engineering, computing, and biology. It also serves as a valuable textbook foradvanced undergraduate and graduate courses in related fields ofstudy.
Network science helps you design faster, more resilientcommunication networks; revise infrastructure systems such aselectrical power grids, telecommunications networks, and airlineroutes; model market dynamics; understand synchronization inbiological systems; and analyze social interactions amongpeople.
This is the first book to take a comprehensive look at thisemerging science. It examines the various kinds of networks(regular, random, small-world, influence, scale-free, and social)and applies network processes and behaviors to emergence, epidemics, synchrony, and risk. The book's uniqueness lies in itsintegration of concepts across computer science, biology, physics, social network analysis, economics, and marketing.
The book is divided into easy-to-understand topical chapters andthe presentation is augmented with clear illustrations, problemsand answers, examples, applications, tutorials, and a discussion ofrelated Java software. Chapters cover:
* Origins
* Graphs
* Regular Networks
* Random Networks
* Small-World Networks
* Scale-Free Networks
* Emergence
* Epidemics
* Synchrony
* Influence Networks
* Vulnerability
* Net Gain
* Biology
This book offers a new understanding and interpretation of thefield of network science. It is an indispensable resource forresearchers, professionals, and technicians in engineering, computing, and biology. It also serves as a valuable textbook foradvanced undergraduate and graduate courses in related fields ofstudy.
