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小世界和无标度网络分析

小世界和无标度网络分析旨在检验真实世界网络是否展现出1998-1999年间发现的两个标志性拓扑特征:Watts-Strogatz小世界特性(高局部聚类与短平均路径长度相结合)和Barabási-Albert无标度特性(度分布遵循幂律,意味着少数中心节点连接了不成比例的大量其他节点)。这些框架共同改变了网络科学,揭示了许多社会、生物和技术网络共享一种共同的结构语法。

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来源

  1. Watts, D.J. & Strogatz, S.H. (1998). Collective Dynamics of 'Small-World' Networks. Nature, 393(6684), 440-442. DOI: 10.1038/30918
  2. Barabási, A.L. & Albert, R. (1999). Emergence of Scaling in Random Networks. Science, 286(5439), 509-512. DOI: 10.1126/science.286.5439.509

如何引用本页

ScholarGate. (2026, June 1). Small-World and Scale-Free Network Analysis (Watts-Strogatz & Barabási-Albert). ScholarGate. https://scholargate.app/zh/network-analysis/small-world-scale-free

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ScholarGateSmall-World and Scale-Free Network Analysis (Small-World and Scale-Free Network Analysis (Watts-Strogatz & Barabási-Albert)). 于 2026-06-15 检索自 https://scholargate.app/zh/network-analysis/small-world-scale-free · 数据集: https://doi.org/10.5281/zenodo.20539026