This self-contained book systematically explores the statistical
dynamics on and of complex networks having relevance across a large
number of scientific disciplines. The theories related to complex
networks are increasingly being used by researchers for their
usefulness in harnessing the most difficult problems of a
particular discipline. The book is a collection of surveys and
cutting-edge research contributions exploring the interdisciplinary
relationship of dynamics on and of complex networks. Topics covered
include complex networks found in nature-genetic pathways,
ecological networks, linguistic systems, and social systems-as well
as man-made systems such as the World Wide Web and peer-to-peer
networks.
The contributed chapters in this volume are intended to promote
cross-fertilization in several research areas, and will be valuable
to newcomers in the field, experienced researchers, practitioners,
and graduate students interested in systems exhibiting an
underlying complex network structure in disciplines such as
computer science, biology, statistical physics, nonlinear dynamics,
linguistics, and the social sciences.
General
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