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Network Analysis : Methodological Foundations / edited by Ulrik Brandes, Thomas Erlebach
(Theoretical Computer Science and General Issues. ISSN:25122029 ; 3418)

データ種別	電子ブック
版	1st ed. 2005.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	2005
大きさ	XII, 472 p : online resource
著者標目	Brandes, Ulrik editor Erlebach, Thomas 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	EB0004652	Computer Scinece R0 2005-6,2022-3				9783540319559

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一般注記	Fundamentals -- I Elements -- Centrality Indices -- Algorithms for Centrality Indices -- Advanced Centrality Concepts -- II Groups -- Local Density -- Connectivity -- Clustering -- Role Assignments -- Blockmodels -- Network Statistics -- Network Comparison -- Network Models -- Spectral Analysis -- Robustness and Resilience ‘Network’ is a heavily overloaded term, so that ‘network analysis’ means different things to different people. Specific forms of network analysis are used in the study of diverse structures such as the Internet, interlocking directorates, transportation systems, epidemic spreading, metabolic pathways, the Web graph, electrical circuits, project plans, and so on. There is, however, a broad methodological foundation which is quickly becoming a prerequisite for researchers and practitioners working with network models. From a computer science perspective, network analysis is applied graph theory. Unlike standard graph theory books, the content of this book is organized according to methods for specific levels of analysis (element, group, network) rather than abstract concepts like paths, matchings, or spanning subgraphs. Its topics therefore range from vertex centrality to graph clustering and the evolution of scale-free networks. In 15 coherent chapters, this monograph-like tutorial book introduces and surveys the concepts and methods that drive network analysis, and is thus the first book to do so from a methodological perspective independent of specific application areas HTTP:URL=https://doi.org/10.1007/b106453
件　名	LCSH:Computer science -- Mathematics 全ての件名で検索 LCSH:Discrete mathematics LCSH:Computer networks LCSH:Artificial intelligence -- Data processing 全ての件名で検索 LCSH:Algorithms FREE:Discrete Mathematics in Computer Science FREE:Computer Communication Networks FREE:Discrete Mathematics FREE:Data Science FREE:Algorithms
分　類	LCC:QA76.9.M35 LCC:QA297.4 DC23:004.0151
書誌ID	EB00004040
ISBN	9783540319559