Network ScienceCambridge University Press, 21 de jul. de 2016 - 456 páginas 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. |
Termos e frases comuns
adjacency matrix Advanced Topics algorithm assortative average degree Barabási Barabási–Albert model Bose–Einstein condensation calculate capture cascading failures chapter citation network cliques clustering coefficient community structure complex connected Consequently cutoff degree correlations degree distribution degree exponent degree sequence directed networks disassortative disease distance dynamics epidemic threshold equation Erd˝os exponential Figure follows fraction function giant component graph Hence hierarchical hk2i hki ¼ hubs immunization impact indicates infected individuals Infomap Internet kmax kmin knn(k modularity neighbors network science network topology node’s nodes with degree number of links number of nodes obtain Online resource paper partition path pathogen percolation Physical Review Poisson power grid power law predicted preferential attachment probability protein interaction random failures random graph random network random network model real networks regime robustness scale-free network scale-free property shown SIR model small-degree nodes small-world social network spread γ ¼