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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.
Achat du livre
Network Science, Márton Pósfai, Albert-László Barabási
- Langue
- Année de publication
- 2016
- product-detail.submit-box.info.binding
- (rigide)
Modes de paiement
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- Titre
- Network Science
- Langue
- Anglais
- Auteurs
- Márton Pósfai, Albert-László Barabási
- Éditeur
- Cambridge University Press
- Publié
- 2016
- Format
- rigide
- Pages
- 475
- ISBN10
- 1107076269
- ISBN13
- 9781107076266
- Séries
- Mots clés
- Nonfiction, Manuels, Informatique & Internet, Science, Mathématiques, Sociologie, Physique, Algorithmes, Physique théorique, Réseaux informatiques
- Description
- 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.