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

Ronaldo Menezes (Curatore)

Santo Fortunato (Curatore)

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2012

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].

• Curatore: Ronaldo Menezes, Santo Fortunato
• Editore: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Collana: Studies in Computational Intelligence
• Anno: 2012
• Rilegatura: Paperback / softback
• Pagine: 225 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783642269318

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