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Network Science, Barab?si


Âàðèàíòû ïðèîáðåòåíèÿ
Öåíà: 7762.00ð.
Êîë-âî:
Íàëè÷èå: Ïîñòàâêà ïîä çàêàç.  Åñòü â íàëè÷èè íà ñêëàäå ïîñòàâùèêà.
Ñêëàä Àíãëèÿ: Åñòü  Ñêëàä Àìåðèêà: Åñòü  
Ïðè îôîðìëåíèè çàêàçà äî: 2025-08-04
Îðèåíòèðîâî÷íàÿ äàòà ïîñòàâêè: Àâãóñò-íà÷àëî Ñåíòÿáðÿ

Äîáàâèòü â êîðçèíó
â Ìîè æåëàíèÿ

Àâòîð: Barab?si
Íàçâàíèå:  Network Science
Ïåðåâîä íàçâàíèÿ: Áàðàáóçè: Ñåòåâàÿ íàóêà
ISBN: 9781107076266
Èçäàòåëüñòâî: Cambridge Academ
Êëàññèôèêàöèÿ:

ISBN-10: 1107076269
Îáëîæêà/Ôîðìàò: Hardback
Ñòðàíèöû: 475
Âåñ: 1.16 êã.
Äàòà èçäàíèÿ: 21.07.2016
Ñåðèÿ: Physics
ßçûê: English
Èëëþñòðàöèè: Worked examples or exercises; 12 tables, color; 180 halftones, color; 191 line drawings, color
Ðàçìåð: 199 x 254 x 25
×èòàòåëüñêàÿ àóäèòîðèÿ: Tertiary education (us: college)
Êëþ÷åâûå ñëîâà: Statistical physics,Algorithms & data structures,Network management, SCIENCE / Physics / Mathematical & Computational
Îñíîâíàÿ òåìà: Physics
Ññûëêà íà Èçäàòåëüñòâî: Link
Ðåéòèíã:
Ïîñòàâëÿåòñÿ èç: Àíãëèè
Îïèñàíèå: Illustrated throughout in full colour, this pioneering textbook, spanning a wide range of disciplines from physics to the social sciences, is the only book needed for an introduction to network science. In modular format, with clear delineation between undergraduate and graduate material, its unique design is supported by extensive online resources.


Network Analysis / Methodological Foundations

Àâòîð: Brandes Ulrik, Erlebach Thomas
Íàçâàíèå: Network Analysis / Methodological Foundations
ISBN: 3540249796 ISBN-13(EAN): 9783540249795
Èçäàòåëüñòâî: Springer
Öåíà: 10475.00 ð.
Íàëè÷èå íà ñêëàäå: Åñòü ó ïîñòàâùèêà Ïîñòàâêà ïîä çàêàç.

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.


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