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原文連結
論文資訊
- 類型：已發表論文
- 日期：2014-04-08
摘要
We analyze growing 網絡s that are built by enhanced redirection. Nodes are sequentially added and each incoming node at 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, net Works grown via this enhanced redirection mechanism exhibit unusual properties, including (1) multiple macrohubs. i.e.. nodes with degrees proportional to the number of 網絡 nodes N; non-extensivity of the degree distribution in which the number of nodes of degree k, N-k, scales a Nv-1/k(v), with 1 < v < 2; (iii) lack of self-averaging, with large fluctuations between individual 網絡 realizations. These features are robust
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