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100   $a20171024d2008      uy              
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aNetwork science $etheory and practice /$fTed G. Lewis
210  1$aHoboken, New Jersey :$cJohn Wiley & Sons,$dc2009.
210  2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2008]
215   $a1 online resource (526 p.)
300   $aDescription based upon print version of record.
311   $a0-470-33188-7 
320   $aIncludes bibliographical references (p. 493-501) and index.
327   $aOrigins -- Graphs -- Regular networks -- Random networks -- Small-world networks -- Scale-free networks -- Emergence -- Epidemics -- Synchrony -- Influence networks -- Vulnerability -- NetGain -- Biology.
330   $aA 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, 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.
606   $aNetwork analysis (Planning)
615  0$aNetwork analysis (Planning)
676   $a003/.72
700   $aLewis$b T. G$g(Theodore Gyle),$f1941-$0857489
801  0$bCaBNVSL
801  1$bCaBNVSL
801  2$bCaBNVSL
906   $aBOOK
912   $a9910146149703321
996   $aNetwork science$91914734
997   $aUNINA