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Titlebook: Dynamics On and Of Complex Networks; Applications to Biol Niloy‘Ganguly,Andreas Deutsch,Animesh Mukherjee Book 2009 Birkh?user Boston 2009

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書(shū)目名稱Dynamics On and Of Complex Networks
副標(biāo)題Applications to Biol
編輯Niloy‘Ganguly,Andreas Deutsch,Animesh Mukherjee
視頻videohttp://file.papertrans.cn/284/283932/283932.mp4
概述A comprehensive and concise presentation of current research from experts in various disciplines compiled in one volume.Provides a clear conception of how complex networks can be extremely useful in d
叢書(shū)名稱Modeling and Simulation in Science, Engineering and Technology
圖書(shū)封面Titlebook: Dynamics On and Of Complex Networks; Applications to Biol Niloy‘Ganguly,Andreas Deutsch,Animesh Mukherjee Book 2009 Birkh?user Boston 2009
描述In the context of network theory, Complex networks can be de?ned as a collection of nodes connected by edges representing various complex int- actions among the nodes. Almost any large-scale system, be it natural or man-made, can be viewed as a complex network of interacting entities, which is dynamically evolving over time. Naturally occurring networks include - ological, ecological and social networks (e. g. , metabolic networks, gene r- ulatory networks, protein interaction networks, signaling networks, epidemic networks, food webs, scienti?c collaboration networks and acquaintance n- works), whereas man-made networks include communication networks and transportation infrastructures (e. g. , the Internet, the World Wide Web, pe- to-peer networks, power grids and airline networks). This edited volume is a sequel to the workshop Dynamics on and of C- plex Networks (http://www. cel. iitkgp. ernet. in/?eccs07/) held as a satellite event of the fourth European Conference on Complex Systems in Dresden, Germany from October 1–5, 2007. The primary aim of this workshop was to systematically explore the statistical dynamics “on” and “of” complex n- works that prevail across a large number
出版日期Book 2009
關(guān)鍵詞Graph; Statistical Physics; World Wide Web; biological networks; complex network; complex networks; ecolog
版次1
doihttps://doi.org/10.1007/978-0-8176-4751-3
isbn_ebook978-0-8176-4751-3Series ISSN 2164-3679 Series E-ISSN 2164-3725
issn_series 2164-3679
copyrightBirkh?user Boston 2009
The information of publication is updating

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Book 2009 among the nodes. Almost any large-scale system, be it natural or man-made, can be viewed as a complex network of interacting entities, which is dynamically evolving over time. Naturally occurring networks include - ological, ecological and social networks (e. g. , metabolic networks, gene r- ulator
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Briefmarkt und Liberalisierung,ate graph structures similar to those observed in language data sheds light on the structure of language and its evolution..In this chapter, we examine power-law distributions and small world graphs (SWGs) originating from natural language data. There are several reasons for the special interest in these structures.
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Summarized Findings and Conclusionnly the hallmarks of the theoretical founding, to finally focus on two of the most interesting and promising current research problems: the study of dynamical processes on transportation networks and the identification of communities in complex networks.
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Theoretical Foundations of the Welfare Stateegree distribution [5, 15] and in possessing a high level of clustering [33]..Methods for generating random networks with arbitrary degree distributions and for calculating their statistical properties are now well understood.
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The Big Friendly Giant: The Giant Component in Clustered Random Graphsegree distribution [5, 15] and in possessing a high level of clustering [33]..Methods for generating random networks with arbitrary degree distributions and for calculating their statistical properties are now well understood.
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