| 书目名称 | Towards an Information Theory of Complex Networks | | 副标题 | Statistical Methods | | 编辑 | Matthias Dehmer,Frank Emmert-Streib,Alexander Mehl | | 视频video | | | 概述 | First book on the market giving a comprehensive look at the applications of information-theoretic models for complex networks.Synthesizes graph-theoretic, statistical, and information-theoretic method | | 图书封面 |  | | 描述 | .For over a decade, complex networks have steadily grown as an important tool across a broad array of academic disciplines, with applications ranging from physics to social media. A tightly organized collection of carefully-selected papers on the subject, .Towards an Information Theory of Complex Networks: Statistical Methods and Applications. presents theoretical and practical results about information-theoretic and statistical models of complex networks in the natural sciences and humanities. The book‘s major goal is to advocate and promote a combination of graph-theoretic, information-theoretic, and statistical methods as a way to better understand and characterize real-world networks. .This volume is the first to present a self-contained, comprehensive overview of information-theoretic models of complex networks with an emphasis on applications. As such, it marks a first step toward establishing advanced statistical information theory as a unified theoretical basis of complex networks for all scientific disciplines and can serve as a valuable resource for a diverse audience of advanced students and professional scientists. While it is primarily intended as a reference for rese | | 出版日期 | Book 2011 | | 关键词 | complexity; data analysis; entropy; information theory; networks; information and communication, circuits | | 版次 | 1 | | doi | https://doi.org/10.1007/978-0-8176-4904-3 | | isbn_ebook | 978-0-8176-4904-3 | | copyright | Springer Science+Business Media, LLC 2011 |
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发表于 2025-3-21 17:05:59
