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Record Nr. |
UNINA9910826239403321 |
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Autore |
Lewis T. G (Theodore Gyle), <1941-> |
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Titolo |
Network science : theory and practice / / Ted G. Lewis |
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Pubbl/distr/stampa |
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Hoboken, N.J., : John Wiley & Sons, 2009 |
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ISBN |
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9786612112799 |
9781118211014 |
1118211014 |
9781282112797 |
1282112791 |
9780470400791 |
047040079X |
9780470400784 |
0470400781 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (526 p.) |
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Disciplina |
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Soggetti |
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Network analysis (Planning) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 493-501) and index. |
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Nota di contenuto |
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Origins -- Graphs -- Regular networks -- Random networks -- Small-world networks -- Scale-free networks -- Emergence -- Epidemics -- Synchrony -- Influence networks -- Vulnerability -- NetGain -- Biology. |
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Sommario/riassunto |
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A comprehensive look at the emerging science of networks Network science helps you design faster, more resilient communication networks; revise infrastructure systems such as electrical power grids, telecommunications networks, and airline routes; model market dynamics; understand synchronization in biological systems; and analyze social interactions among people. This is the first book to take a comprehensive look at this emerging 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 its integration of concepts across computer science, biology, physics, |
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social network analysis, economics, and marketing. The book is divided into easy-to-understand topical chapters and the presentation is augmented with clear illustrations, problems and answers, examples, applications, tutorials, and a discussion of related 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 the field of network science. It is an indispensable resource for researchers, professionals, and technicians in engineering, computing, and biology. It also serves as a valuable textbook for advanced undergraduate and graduate courses in related fields of study. |
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