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Classes of small-world networks

Proceedings of the National Academy of Sciences of the United States of America, Vol. 97, No. 21. (10 October 2000), pp. 11149-11152.

X Abstract

We study the statistical properties of a variety of diverse real-world networks. We present evidence of the occurrence of three classes of small-world networks: () scale-free networks, characterized by a vertex connectivity distribution that decays as a power law; () broad-scale networks, characterized by a connectivity distribution that has a power law regime followed by a sharp cutoff; and () single-scale networks, characterized by a connectivity distribution with a fast decaying tail. Moreover, we note for the classes of broad-scale and single-scale networks that there are constraints limiting the addition of new links. Our results suggest that the nature of such constraints may be the controlling factor for the emergence of different classes of networks.

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This article has been bookmarked 41 times, initially on 2004-11-08.

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2005-08-09 User ChaTo , 1 note

Small-world networks can be: scale-free, broad-scale or single-scale.

Small-world networks that are not scale-free can be due to: aging of vertices, or more frequently: limited vertex capacity.

This can be compared with distribution of sizes of droplets in the gas-liquid critical point, as far from the critical point, the droplets follow a broad-scale and even farther, a gaussian distribution.

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2004-11-08 User camster , 1 note

This is interesting because they think the power law isn't a perfect fit for their datasets - it's a bit rough round the edges.

2004-11-09 15:57:06
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