Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2004-08-12
Phys. Rev. E 71, 026103 (2005)
Physics
Condensed Matter
Disordered Systems and Neural Networks
6 pages, 2 eps figures
Scientific paper
10.1103/PhysRevE.71.026103
We study growing networks in which each link carries a certain weight (randomly assigned at birth and fixed thereafter). The weight of a node is defined as the sum of the weights of the links attached to the node, and the network grows via the simplest weight-driven rule: A newly-added node is connected to an already existing node with the probability which is proportional to the weight of that node. We show that the node weight distribution n(w) has a universal, that is independent on the link weight distribution, tail: n(w) ~ w^-3 as w->oo. Results are particularly neat for the exponential link weight distribution when n(w) is algebraic over the entire weight range.
Antal Tibor
Krapivsky Paul. L.
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