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,
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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