Network Science
| Author | : | |
| Rating | : | 4.79 (909 Votes) |
| Asin | : | 1107076269 |
| Format Type | : | paperback |
| Number of Pages | : | 474 Pages |
| Publish Date | : | 2017-08-19 |
| Language | : | English |
DESCRIPTION:
About the Author 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.
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. 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 Cen
Krugman meets Barabasi: scale-free complex networks, hubs and increasing returns, a new way to understand economics Studies in complexity gained momentum in Economics after Brian Arthur’s work (Arthur (2015) and Foster (2005)) as the head of New Mexico’s Santa Fe Institute in the late 1980s. With applications on various fronts, complex dynamical systems approaches have been applied to different fields of research in Economics and other sciences. Applications are used, for example, in Game Theory, Political Science, Biology and Physics. Original applications in Economics were on modeling of financial markets, individual agents’ decision-making rul. "Useful resource for graduate courses, but comes up short for wider curious audiences" according to Alain. Beautifully produced book. Lots of useful math to build concepts in network science. An enormous amount of time and space is occupied by author (re)writing history to make sure everyone is clear how he made all of his landmark discoveries, after humbly describing his early misfires and the immense ignorance of the field until he made his contributions. The book does not provide nearly enough practical examples to build intuition about applications of networks to various fields of life. Of course you cannot make all happy, but would be great to take t. "Great textbook for teaching (and learning!) an introductory course on networks" according to Roberta. I had the chance to use a pre-print of this textbook before it was published, to teach a network science course during the academic year 2015-2016. Its added value in respect to other network science books is that it guides the reader gently, at the right pace and with a lot of insightful examples and visualizations in the world of networks. Students at their first encounter with networks have the chance to absorb increasingly complex network concepts at the right pace. However, intermediate and advanced network scientists do not get bored: they have
The mathematical formulas and derivations are included within Advanced Topics sections, enabling use at a range of levels. 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 l