Large Scale Structure and Dynamics of Complex Networks: From Information Technology to Finance and Natural ScienceWorld Scientific, 2007 - Broj stranica: 251 This book is the culmination of three years of research effort on a multidisciplinary project in which physicists, mathematicians, computer scientists and social scientists worked together to arrive at a unifying picture of complex networks. The contributed chapters form a reference for the various problems in data analysis visualization and modeling of complex networks. |
Sadržaj
Introduction | 1 |
1 Preliminaries and Basic Definitions in Network Theory | 5 |
2 Models of Complex Networks | 17 |
3 Correlations in Complex Networks | 35 |
Measurements and Models | 67 |
5 Community Structure Identification | 93 |
6 Visualizing Large Complex Networks | 115 |
How Far We Are | 133 |
8 The Large Scale Structure of the Internet | 163 |
9 Spanning Trees in Ecology | 185 |
10 Social and Financial Networks | 205 |
235 | |
249 | |
Ostala izdanja - Prikaži sve
Large Scale Structure and Dynamics of Complex Networks: From Information ... Guido Caldarelli Ograničeni pregled - 2007 |
Large Scale Structure and Dynamics of Complex Networks: From Information ... Guido Caldarelli,Alessandro Vespignani Pregled nije dostupan - 2007 |
Uobičajeni izrazi i fraze
airport algorithm analysis assortative average degree average nearest neighbors behavior bipartite cliques block characterization clustering coefficient community structure complex networks computed connected component considered corresponding defined degree distribution degree distribution P(k depends directed graph disassortative display distance dynamics eigenvectors Evolving example exponent food webs function global heavy-tailed heterogeneity hierarchical in-degree interactions interlock Internet maps k-core knn(k layer layout main memory matrix measure methods minimum spanning tree modularity nodes number of edges number of nodes number of vertices observed obtained out-degree PageRank partition possible power-law preferential attachment present probability quantity random graph random networks real networks represent routers scale scale-free networks scientific collaboration network semi-external shortest path shown in Fig small-world social networks species statistical subgraph taxonomic trees topological properties total number traffic undirected vertex vertices of degree web of trust Webgraph weighted networks