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 mech-anisms: (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.
CITATION STYLE
Barabási, A. L., & Albert, R. (2011). Emergence of scaling in random networks. In The Structure and Dynamics of Networks (Vol. 9781400841356, pp. 349–352). Princeton University Press. https://doi.org/10.1515/9781400841356.349
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