Item Tag: Network Science

Network Science by Albert-Lszl Barabsi, Mrton Psfai – 9781107076266

ISBN-13: 9781107076266, 978-1107076266. 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.

Network Science by Barab�si

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Network Science by Albert-L?szl? Barab?si (English) Hardcover Book

Throughout, the book illustrates those ideas with concrete and intuitive examples that also help achieve its main purpose, which is to instill network-based thinking in the reader. Its pedagogical value is significantly enhanced by a Tufte-style exposition that recognizes and works with the nonlinear character of learning.

Network Science Barabási Pósfai Hardback Cambridge University Press

9781107076266, Cambridge University Press. 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.

Network Science by Albert-L?szl? Barab?si (English) Hardcover Book

Throughout, the book illustrates those ideas with concrete and intuitive examples that also help achieve its main purpose, which is to instill network-based thinking in the reader. Its pedagogical value is significantly enhanced by a Tufte-style exposition that recognizes and works with the nonlinear character of learning.

NETWORK SCIENCE by Albert-Laszlo Northeastern University, Boston Barabasi

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.