Name
Abstract | ||
|---|---|---|
Complex networks describe a wide range of systems in nature and society, much
quoted examples including the cell, a network of chemicals linked by chemical
reactions, or the Internet, a network of routers and computers connected by
physical links. While traditionally these systems were modeled as random
graphs, it is increasingly recognized that the topology and evolution of real
networks is governed by robust organizing principles. Here we review the recent
advances in the field of complex networks, focusing on the statistical
mechanics of network topology and dynamics. After reviewing the empirical data
that motivated the recent interest in networks, we discuss the main models and
analytical tools, covering random graphs, small-world and scale-free networks,
as well as the interplay between topology and the network's robustness against
failures and attacks. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1103/RevModPhys.74.47 | Computing Research Repository |
Keywords | Field | DocType |
complex network,statistical mechanic,network model,world wide web,complex system,poisson distribution,brownian motion,random graph,scale free,power law,probability theory,empirical study,random process,stochastic process,network topology,set theory,chemical reaction,statistical computing,degree distribution,scale free network | Interdependent networks,Spatial network,Quantum mechanics,Small-world network,Evolving networks,Theoretical computer science,Scale-free network,Hierarchical network model,Complex network,Degree distribution,Physics | Journal |
Volume | Issue | ISSN |
cond-mat/0106096 | 1 | Reviews of Modern Physics 74, 47 (2002) |
ISBN | Citations | PageRank |
0-493-08502-5 | 1842 | 290.87 |
References | Authors | |
2 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Reka Zsuzsanna Albert | 1 | 1842 | 290.87 |
| Albert-lászló Barabási | 2 | 4649 | 1107.35 |