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Titlebook: Complex Networks & Their Applications IX; Volume 1, Proceeding Rosa M. Benito,Chantal Cherifi,Marta Sales-Pardo Conference proceedings 2021

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書目名稱Complex Networks & Their Applications IX
副標(biāo)題Volume 1, Proceeding
編輯Rosa M. Benito,Chantal Cherifi,Marta Sales-Pardo
視頻videohttp://file.papertrans.cn/232/231483/231483.mp4
概述Presents the latest research on complex networks and their applications.Gathers the edited proceedings of the Ninth International Conference on Complex Networks and their Applications (COMPLEX NETWORK
叢書名稱Studies in Computational Intelligence
圖書封面Titlebook: Complex Networks & Their Applications IX; Volume 1, Proceeding Rosa M. Benito,Chantal Cherifi,Marta Sales-Pardo Conference proceedings 2021
描述.This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the IX International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2020). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks and technological networks.?..?.
出版日期Conference proceedings 2021
關(guān)鍵詞Complex Networks; Complex Networks 2020; Network Models; Network Analysis; Network Dynamics
版次1
doihttps://doi.org/10.1007/978-3-030-65347-7
isbn_softcover978-3-030-65349-1
isbn_ebook978-3-030-65347-7Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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1860-949X on Complex Networks and their Applications (COMPLEX NETWORK.This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer
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Difference Equations with Continuous Time, symmetrized version of the adjacency matrices. A simulation study with a directed stochastic block model shows that directed spectral clustering can succeed where the symmetrized approach fails. And we find interesting and informative differences between the two approaches in the application to Congressional cosponsorship data.
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