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A01=Albert-László Barabási
A02=Márton Pósfai
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Author_Albert-László Barabási
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Category1=Non-Fiction
Category=UMB
Category=UTF
COP=United Kingdom
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Language_English
PA=In stock
Price_€50 to €100
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Network Science

English

By (author): Albert-László Barabási

Networks are everywhere, from the internet, to social networks, and the genetic networks that determine our biological existence. Illustrated throughout in full colour, this pioneering textbook, spanning a wide range of topics from physics to computer science, engineering, economics and the social sciences, introduces network science to an interdisciplinary audience. From the origins of the six degrees of separation to explaining why networks are robust to random failures, the author explores how viruses like Ebola and H1N1 spread, and why it is that our friends have more friends than we do. Using numerous real-world examples, this innovatively designed text includes clear delineation between undergraduate and graduate level material. The mathematical formulas and derivations are included within Advanced Topics sections, enabling use at a range of levels. Extensive online resources, including films and software for network analysis, make this a multifaceted companion for anyone with an interest in network science. See more
Current price €56.04
Original price €58.99
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A01=Albert-László BarabásiA02=Márton PósfaiAge Group_UncategorizedAuthor_Albert-László Barabásiautomatic-updateCategory1=Non-FictionCategory=UMBCategory=UTFCOP=United KingdomDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=In stockPrice_€50 to €100PS=Activesoftlaunch
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Product Details
  • Weight: 1210g
  • Dimensions: 197 x 254mm
  • Publication Date: 21 Jul 2016
  • Publisher: Cambridge University Press
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9781107076266

About Albert-László Barabási

Albert-László Barabási is Robert Gray Dodge Professor of Network Science and Director of the Center for Complex Network Research at Northeastern University with appointments at Harvard Medical School and the Central European University in Budapest. His work in network science has led to the discovery of scale-free networks and elucidated many key network properties from robustness to control. He is a Fellow of the American Physical Society the AAAS (Physics) and the Massachusetts Academy of Sciences and is a recipient of numerous international awards.

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