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Titlebook: Complex Networks; Results of the 1st I Santo Fortunato,Giuseppe Mangioni,Vincenzo Nicosia Book 2009 Springer-Verlag Berlin Heidelberg 2009

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書目名稱Complex Networks
副標(biāo)題Results of the 1st I
編輯Santo Fortunato,Giuseppe Mangioni,Vincenzo Nicosia
視頻videohttp://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Titlebook: Complex Networks; Results of the 1st I Santo Fortunato,Giuseppe Mangioni,Vincenzo Nicosia Book 2009 Springer-Verlag Berlin Heidelberg 2009
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(guān)鍵詞Cyc; Racter; complex networks; complex systems; complexity; evolution; modeling; algorithm analysis and pro
版次1
doihttps://doi.org/10.1007/978-3-642-01206-8
isbn_softcover978-3-642-26931-8
isbn_ebook978-3-642-01206-8Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2009
The information of publication is updating

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Sumie Yoshioka,Valentino J. Stellaments, replication and mutation, or massive parallelism, possibly under varying conditions. We propose a spectral approach to identify structural trends, i. e. prevalent patterns of connectivity, in an ensemble by delineating classes of networks with similar role structure. Formal, experimental, and practical evidence of its potential is given.
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Santo Fortunato,Giuseppe Mangioni,Vincenzo NicosiaContains the latest research in Complex Networks.Results of the 1st International Workshop on Complex Networks (CompleNet 2009)
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Studies in Computational Intelligencehttp://image.papertrans.cn/c/image/231481.jpg
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Stability of Adaptive Controllerssearch. In order to unravel the collective behavior of genes, methods and approaches pertinent to complex dynamical systems are necessary. Using the network theory,we study correlation patterns in the time series of gene expressions of Yeast measured along the cell cycle. We select a subset of genes
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