About this Medicine article
Emergence of Scaling in Random Networks by Albert-László Barabási; Réka Albert is a Medicine article available to read on EtoBox.
Systems as diverse as genetic networks or the World Wide Web are best described as networks with complex topology. A common property of many large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature was found to be a consequence of two generic mechanisms: (i) networks expand continuously by the addition of new vertices, and (ii) new vertices attach preferentially to sites that are already well connected. A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Albert-László Barabási; Réka Albert
- Publisher
- American Association for the Advancement of Science (AAAS)
- Published
- 1999
- Language
- EN
- Field
- Medicine (Social Sciences)