In the last decade we have seen the emergence of a new
inter-disciplinary field concentrating on the understanding large
networks which are dynamic, large, open, and have a structure that
borders order and randomness. The field of Complex Networks has
helped us better understand many complex phenomena such as spread
of decease, protein interaction, social relationships, to name but
a few.
The field of Complex Networks has received a major boost caused
by the widespread availability of huge network data resources in
the last years. One of the most surprising findings is that real
networks behave very distinct from traditional assumptions of
network theory. Traditionally, real networks were supposed to have
a majority of nodes of about the same number of connections around
an average. This is typically modeled by random graphs. But modern
network research could show that the majority of nodes of real
networks is very low connected, and, by contrast, there exists some
nodes of very extreme connectivity (hubs).
The current theories coupled with the availability of data makes
the field of Complex Networks (sometimes called Network Sciences)
one of the most promising interdisciplinary disciplines of today.
This sample of works in this book gives as a taste of what is in
the horizon such controlling the dynamics of a network and in the
network, using social interactions to improve urban planning,
ranking in music, and the understanding knowledge transfer in
influence networks."
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