Network Science Illustrated throughout in full colour, this pioneering text is the only book you need for an introduction to network science. Albert-László Barabási (Author), Márton Pósfai (With) 9781107076266, Cambridge University Press Hardback, published 21 July 2016 475 pages, 371 colour illus. 12 tables 30 exercises25.4 x 19.7 x 2.6 cm, 1.21 kg '… a pleasure to read. The passion of the author for his field is reflected in the book he has written.' Panos Louridas, SIGACT Newsletter 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. Preface Personal introduction 1. Introduction 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 Index. Subject Areas: Network management [UTF], Algorithms & data structures [UMB], Statistical physics [PHS]
