Network science / Albert-László Barabási ; with Márton Pósfai, data analysis and simulations.

By:

Barabási, Albert-László

Contributor(s):

Pósfai, Márton

Material type: Text

TextLanguage: English Publication details: Cambridge, United Kingdom : Cambridge University Press, 2016.Description: xviii, 456 pages : illustrations (some colour) ; 25 cmISBN:

1107076269
9781107076266

Subject(s):

DDC classification:

004.6 23 LAS

Online resources:

Contents:

1Introduction 2.Graph theory 3.Random networks 4.The scale-free property 5.The Barabási--Albert model 6.Evolving networks 7.Degree correlation 8.Network robustness 9.Communities 10.Spreading phenomena.

Summary: "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"--Page [4] of cover.

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
General Books	CUTN Central Library Generalia	Non-fiction	004.6 LAS (Browse shelf(Opens below))	Available	36792

1Introduction
2.Graph theory
3.Random networks
4.The scale-free property
5.The Barabási--Albert model
6.Evolving networks
7.Degree correlation
8.Network robustness
9.Communities
10.Spreading phenomena.

"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"--Page [4] of cover.

Includes bibliographical references (pages [436]-452) and index.

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