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. Ed(S): Estrada, Ernesto; Fox, Maria; Higham, Desmond J.; Oppo, Gian-Luca - Network Science - 9781447160342 - V9781447160342
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Network Science

€ 122.39
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Description for Network Science Paperback. This unique book provides a fascinating insight into the state-of-the-art in network science. It highlights the commonality across different areas of application and the ways in which each area can be advanced by injecting ideas and techniques from another. Editor(s): Estrada, Ernesto; Fox, Maria; Higham, Desmond J.; Oppo, Gian-Luca. Num Pages: 256 pages, biography. BIC Classification: MBG; PBK; PHU; TJK; UKN; UMB. Category: (G) General (US: Trade). Dimension: 235 x 155 x 14. Weight in Grams: 403.
Network Science is the emerging field concerned with the study of large, realistic networks. This interdisciplinary endeavor, focusing on the patterns of interactions that arise between individual components of natural and engineered systems, has been applied to data sets from activities as diverse as high-throughput biological experiments, online trading information, smart-meter utility supplies, and pervasive telecommunications and surveillance technologies. This unique text/reference provides a fascinating insight into the state of the art in network science, highlighting the commonality across very different areas of application and the ways in which each area can be advanced by injecting ... Read more

Product Details

Format
Paperback
Publication date
2014
Publisher
Springer London Ltd United Kingdom
Number of pages
256
Condition
New
Number of Pages
245
Place of Publication
England, United Kingdom
ISBN
9781447160342
SKU
V9781447160342
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Network Science
From the reviews: “Unlike many existing books that address mathematical network science or that focus on a single application area, this book collects papers written by experts specializing in different fields. … the goal of this book is to broaden the view of readers. It focuses on applications of network science rather than on the mathematics of network analysis. ... Read more

Goodreads reviews for Network Science


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