{ "item_title" : "Complex Networks", "item_author" : [" Ronaldo Menezes", "Santo Fortunato", "Giuseppe Mangioni "], "item_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 medicine1], drug discovery20] and treatment optimization24]. 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 networks34, 30, 8, 13, 12]. Basically, it is an extension of graph theory10], focusing on the modeling, representation, characterization, analysis and simulation ofcomplexsystemsbyconsideringmanyelementsandtheirinterconnections.C- plex networks concepts and methods have been used to study disease17], tr- scription networks5, 6, 4], protein-protein networks22, 36, 16, 39], metabolic networks23] and anatomy40].", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/64/226/931/3642269311_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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