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arXiv · 1312.7843

Highly Dispersed Networks Generated by Enhanced Redirection

Alan Gabel·P. L. Krapivsky·S. Redner
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Abstract

We analyze growing networks that are built by enhanced redirection. Nodes are sequentially added and each incoming node attaches to a randomly chosen 'target' node with probability 1-r, or to the parent of the target node with probability r. When the redirection probability r is an increasing function of the degree of the parent node, with r-->1 as the parent degree diverges, networks grown via this enhanced redirection mechanism exhibit unusual properties, including: (i) multiple macrohubs---nodes with degrees proportional to the number of network nodes N; (ii) non-extensivity of the degree distribution in which the number of nodes of degree k, N_k, scales as N^{nu-1}/k^{nu}, with 1 =4(ln2)-2=0.77258...

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BibTeXRIS

Alan Gabel, P. L. Krapivsky, S. Redner. 2014-03-13. Highly Dispersed Networks Generated by Enhanced Redirection. https://doi.org/10.1088/1742-5468%2F2014%2F04%2Fp04009

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