| 書目名稱 | Models, Algorithms, and Technologies for Network Analysis | | 副標(biāo)題 | NET 2016, Nizhny Nov | | 編輯 | Valery A. Kalyagin,Alexey I. Nikolaev,Oleg A. Prok | | 視頻video | http://file.papertrans.cn/637/636862/636862.mp4 | | 概述 | Introduces current theories and applications in optimization methods and network models.Contains new efficient algorithms and rigorous mathematical theories.Features applications to social networks, p | | 叢書名稱 | Springer Proceedings in Mathematics & Statistics | | 圖書封面 |  | | 描述 | .This valuable source for graduate students and researchers provides a comprehensive introduction to current theories and applications in optimization methods and network models. Contributions to this book are focused on new efficient algorithms and rigorous mathematical theories, which can be used to optimize and analyze mathematical graph structures with massive size and high density induced by natural or artificial complex networks. Applications to social networks, power transmission grids, telecommunication networks, stock market networks, and human brain networks are presented..Chapters in this book cover the following topics:.Linear max min fairness.Heuristic approaches for high-quality solutions.Efficient approaches for complex multi-criteria optimization problems.Comparison of heuristic algorithms.New? heuristic iterative local search?.Power in network structures.Clustering nodes in random graphs.Power transmission grid structure.Network decomposition problems.Homogeneity hypothesis testing.Network analysis of international migration.Social networks with node attributes.Testing hypothesis on degree distribution in the market graphs.Machine learning applications to human bra | | 出版日期 | Conference proceedings 2017 | | 關(guān)鍵詞 | machine learning; multi-layered modeling; efficient algorithms; complex networks; social networks; power | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-56829-4 | | isbn_softcover | 978-3-319-86012-1 | | isbn_ebook | 978-3-319-56829-4Series ISSN 2194-1009 Series E-ISSN 2194-1017 | | issn_series | 2194-1009 | | copyright | Springer International Publishing AG 2017 |
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