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Network Analysis / Methodological Foundations, Brandes Ulrik, Erlebach Thomas


Âàðèàíòû ïðèîáðåòåíèÿ
Öåíà: 10475.00ð.
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Ñêëàä Àìåðèêà: Åñòü  
Ïðè îôîðìëåíèè çàêàçà äî: 2025-07-28
Îðèåíòèðîâî÷íàÿ äàòà ïîñòàâêè: Àâãóñò-íà÷àëî Ñåíòÿáðÿ
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Àâòîð: Brandes Ulrik, Erlebach Thomas
Íàçâàíèå:  Network Analysis / Methodological Foundations
Ïåðåâîä íàçâàíèÿ: Àíàëèç ñåòè / Ìåòîäîëîãè÷åñêèå îñíîâû
ISBN: 9783540249795
Èçäàòåëüñòâî: Springer
Êëàññèôèêàöèÿ:


ISBN-10: 3540249796
Îáëîæêà/Ôîðìàò: Book & Online
Ñòðàíèöû: 471
Âåñ: 0.72 êã.
Äàòà èçäàíèÿ: 2005
Ñåðèÿ: Lecture Notes in Computer Science
ßçûê: English
Ðàçìåð: 15.72 x 23.57 x 2.69
Ññûëêà íà Èçäàòåëüñòâî: Link
Ïîñòàâëÿåòñÿ èç: Ãåðìàíèè
Îïèñàíèå: ‘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.
Äîïîëíèòåëüíîå îïèñàíèå: Ôîðìàò: 235x155
Êðóã ÷èòàòåëåé: Advanced students, researchers, and professionals
Êëþ÷åâûå ñëîâà: network analysis
applied graph theory
network algorithms
graph algorithms
network design
combinatorial optimization
network statistics
connectivity
graph isomorphisms
network robustness
social network analysis
complex systems
evolving networks
ßçûê: eng





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