Dependence of the average to-node distance on the node degree for random graphs and growing networks

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

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7 pages, 2 figures

Scientific paper

10.1140/epjb/e2004-00326-3

In a graph, nodes can be characterized locally (with their degree $k$) or globally (e.g. with their average length path $\xi$ to other nodes). Here we investigate how $\xi$ depends on $k$. Our earlier algorithm of the construction of the distance matrix is applied to the random graphs. Numerical calculations are performed for the random graphs and the growing networks: the scale-free ones and the exponential ones. The results are relevant for search strategies in different networks.

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