Abstract
We review the recent fast progress in statistical physics of evolving networks. Interest has focused mainly on the structural properties of random complex networks in communications, biology, social sciences and economics. A number of giant artificial networks of such a kind came into existence recently. This opens a wide field for the study of their topology, evolution, and complex processes occurring in them. Such networks possess a rich set of scaling properties. A number of them are scale-free and show striking resilience against random breakdowns. In spite of large sizes of these networks, the distances between most their vertices are short — a feature known as the “smallworld” effect. We discuss how…
Citation impact
3,197
total citations
- FWCI
- 153.42
- Percentile
- 100%
- References
- 321
Citations per year
Authors
2Topics & keywords
Topics
Keywords
- Complex network
- Evolving networks
- Scale-free network
- Computer science
- Biological network
- Network science
- Percolation (cognitive psychology)
- Interdependent networks
No related works found for this paper.