Emergence of scaling in random networks
Emergence of scaling in random networks
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DOI：
10.1126/science.286.5439.509
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发表时间：
1999-10-15
期刊：
影响因子：
56.9
通讯作者：
Albert, R
中科院分区：
文献类型：
--
作者：
Barabási, AL;Albert, R
像遗传网络或万维网这样多样化的系统最好被描述为具有复杂拓扑结构的网络。许多大型网络的一个共同特性是顶点连通性遵循无标度幂律分布。这一特征被发现是两种一般机制的结果：(i)网络通过添加新顶点而不断扩展，（ii）新顶点优先附着在已经连接良好的站点上。基于这两种成分的模型再现了观测到的平稳无标度分布，这表明大型网络的发展是由超越单个系统细节的鲁棒自组织现象控制的。
Systems as diverse as genetic networks or the World Wide Web are best described as networks with complex topology. A common property of many Large networks is that the vertex connectivities follow a scale-free power-law distribution. This feature was found to be a consequence of two generic mechanisms: (i) networks expand continuously by the addition of new vertices, and (ii) new vertices attach preferentially to sites that are already well connected. A model based on these two ingredients reproduces the observed stationary scale-free distributions, which indicates that the development of Large networks is governed by robust self-organizing phenomena that go beyond the particulars of the individual systems.