The emerging field of network science represents a new style of
research that can unify such traditionally-diverse fields as
sociology, economics, physics, biology, and computer science. It is
a powerful tool in analyzing both natural and man-made systems,
using the relationships between players within these networks and
between the networks themselves to gain insight into the nature of
each field. Until now, studies in network science have been focused
on particular relationships that require varied and
sometimes-incompatible datasets, which has kept it from being a
truly universal discipline. Computational Network Science seeks to
unify the methods used to analyze these diverse fields. This book
provides an introduction to the field of Network Science and
provides the groundwork for a computational, algorithm-based
approach to network and system analysis in a new and important way.
This new approach would remove the need for tedious human-based
analysis of different datasets and help researchers spend more time
on the qualitative aspects of network science research.
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