| 書目名稱 | Complex Networks | | 副標題 | Results of the 1st I | | 編輯 | Santo Fortunato,Giuseppe Mangioni,Vincenzo Nicosia | | 視頻video | http://file.papertrans.cn/232/231481/231481.mp4 | | 概述 | Contains the latest research in Complex Networks.Results of the 1st International Workshop on Complex Networks (CompleNet 2009) | | 叢書名稱 | Studies in Computational Intelligence | | 圖書封面 |  | | 描述 | 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]. | | 出版日期 | Book 2009 | | 關鍵詞 | Cyc; Racter; complex networks; complex systems; complexity; evolution; modeling; algorithm analysis and pro | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-01206-8 | | isbn_softcover | 978-3-642-26931-8 | | isbn_ebook | 978-3-642-01206-8Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | Springer-Verlag Berlin Heidelberg 2009 |
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