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Complex Networks : Results of the 1st International Workshop on Complex Networks (CompleNet 2009), PDF eBook

Complex Networks : Results of the 1st International Workshop on Complex Networks (CompleNet 2009) PDF

Edited by Ronaldo Menezes, Santo Fortunato, Giuseppe Mangioni, Vincenzo Nicosia

Part of the Studies in Computational Intelligence series

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Description

Though the reductionist approachto biology and medicine has led to several imp- tant advances, further progresses with respect to the remaining challenges require integration of representation, characterization and modeling of the studied systems along a wide range of spatial and time scales.

Such an approach, intrinsically - lated to systems biology, is poised to ultimately turning biology into a more precise and synthetic discipline, paving the way to extensive preventive and regenerative medicine [1], drug discovery [20] and treatment optimization [24].

A particularly appealing and effective approach to addressing the complexity of interactions inherent to the biological systems is provided by the new area of c- plex networks [34, 30, 8, 13, 12].

Basically, it is an extension of graph theory [10], focusing on the modeling, representation, characterization, analysis and simulation ofcomplexsystemsbyconsideringmanyelementsandtheirinterconnections.C- plex networks concepts and methods have been used to study disease [17], tr- scription networks [5, 6, 4], protein-protein networks [22, 36, 16, 39], metabolic networks [23] and anatomy [40].

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