| 書目名稱 | Towards an Information Theory of Complex Networks | | 副標(biāo)題 | Statistical Methods | | 編輯 | Matthias Dehmer,Frank Emmert-Streib,Alexander Mehl | | 視頻video | http://file.papertrans.cn/928/927181/927181.mp4 | | 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 | | 圖書封面 |  | | 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 | | 關(guān)鍵詞 | 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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