| 书目名称 | Dynamics On and Of Complex Networks | | 副标题 | Applications to Biol | | 编辑 | Niloy‘Ganguly,Andreas Deutsch,Animesh Mukherjee | | 视频video | | | 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 | | 丛书名称 | Modeling and Simulation in Science, Engineering and Technology | | 图书封面 |  | | 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 | | 关键词 | Graph; Statistical Physics; World Wide Web; biological networks; complex network; complex networks; ecolog | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-8176-4751-3 | | isbn_ebook | 978-0-8176-4751-3Series ISSN 2164-3679 Series E-ISSN 2164-3725 | | issn_series | 2164-3679 | | copyright | Birkhäuser Boston 2009 |
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发表于 2025-3-21 19:02:12
