From the Internet to networks of friendship, disease
transmission, and even terrorism, the concept--and the reality--of
networks has come to pervade modern society. But what exactly is a
network? What different types of networks are there? Why are they
interesting, and what can they tell us? In recent years, scientists
from a range of fields--including mathematics, physics, computer
science, sociology, and biology--have been pursuing these questions
and building a new "science of networks." This book brings together
for the first time a set of seminal articles representing research
from across these disciplines. It is an ideal sourcebook for the
key research in this fast-growing field.
The book is organized into four sections, each preceded by an
editors' introduction summarizing its contents and general theme.
The first section sets the stage by discussing some of the
historical antecedents of contemporary research in the area. From
there the book moves to the empirical side of the science of
networks before turning to the foundational modeling ideas that
have been the focus of much subsequent activity. The book closes by
taking the reader to the cutting edge of network science--the
relationship between network structure and system dynamics. From
network robustness to the spread of disease, this section offers a
potpourri of topics on this rapidly expanding frontier of the new
science.
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