Abstract
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.
Description
recommended by Haim Levkowitz, UML Department of Computer Science, Chair
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