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Network Science : 7th International Winter Conference, NetSci-X 2022, Porto, Portugal, February 8–11, 2022, Proceedings / edited by Pedro Ribeiro, Fernando Silva, José Fernando Mendes, Rosário Laureano
(Information Systems and Applications, incl. Internet/Web, and HCI. ISSN:29461642 ; 13197)

データ種別	電子ブック
版	1st ed. 2022.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2022
大きさ	XII, 185 p. 45 illus., 38 illus. in color : online resource
著者標目	Ribeiro, Pedro editor Silva, Fernando editor Mendes, José Fernando editor Laureano, Rosário editor SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0003197	Computer Scinece R0 2005-6,2022-3				9783030972400

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一般注記	Using localized attacks with probabilistic failures to model seismic events over physical-logical interdependent network -- A Historical Perspective On International Treaties Via Hypernetwork Science -- On the Number of Edges of the Frechet Mean and Median Graphs -- Core but not Peripheral Online Social Ties is a Protective Factor against Depression: Evidence from a Nationally Representative Sample of Young Adults -- Deep Topological Embedding with Convolutional Neural Networks for Complex Network Classification -- Modularity-based Backbone Extraction in Weighted Complex Networks -- Vessel destination prediction using a graph-based machine learning model -- Hunting for Dual-target Set on a Class of Hierarchical Networks -- Generalized Linear Models Network Autoregression -- Constructing Provably Robust Scale-free Networks -- Functional characterization of transcriptional regulatory networks of yeast species -- Competitive Information Spreading on Modular Networks -- HyperNetVec: Fast and Scalable Hierarchical Embedding for Hypergraphs This book constitutes the refereed proceedings of the 7th International Conference and School of Network Science, NetSci-X 2022, held in Porto, Portugal, in February 2021. The 13 full papers were carefully reviewed and selected from 19 submissions. The papers deal with the study of network models in domains ranging from biology and physics to computer science, from financial markets to cultural integration, and from social media to infectious diseases HTTP:URL=https://doi.org/10.1007/978-3-030-97240-0
件　名	LCSH:Computer engineering LCSH:Computer networks LCSH:Application software LCSH:Social sciences -- Data processing 全ての件名で検索 FREE:Computer Engineering and Networks FREE:Computer and Information Systems Applications FREE:Computer Application in Social and Behavioral Sciences
分　類	LCC:TK7885-7895 LCC:TK5105.5-5105.9 DC23:621.39 DC23:004.6
書誌ID	EB00002585
ISBN	9783030972400