首页> 外文会议>European Conference on Principles and Practice of Knowledge Discovery in Databases(PKDD 2005); 20051003-07; Porto(PT) >Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication
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Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication

机译:使用Kronecker乘法的逼真的,可数学计算的图形生成和演化

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How can we generate realistic graphs? In addition, how can we do so with a mathematically tractable model that makes it feasible to analyze their properties rigorously? Real graphs obey a long list of surprising properties: Heavy tails for the in- and out-degree distribution; heavy tails for the eigenvalues and eigenvectors; small diameters; and the recently discovered "Densification Power Law" (DPL). All published graph generators either fail to match several of the above properties, are very complicated to analyze mathematically, or both. Here we propose a graph generator that is mathematically tractable and matches this collection of properties. The main idea is to use a non-standard matrix operation, the Kronecker product, to generate graphs that we refer to as "Kronecker graphs". We show that Kronecker graphs naturally obey all the above properties; in fact, we can rigorously prove that they do so. We also provide empirical evidence showing that they can mimic very well several real graphs.
机译:我们如何生成逼真的图形?此外,我们如何使用数学上易处理的模型来做到这一点,从而可以严格地分析其属性?实图遵循一长串令人惊奇的特性:粗斜尾用于进度和出度分布;特征值和特征向量的粗尾;小直径以及最近发现的《致密化权力法》(DPL)。所有已发布的图形生成器要么不能满足上述几个属性,要么很难进行数学分析,或者两者兼而有之。在这里,我们提出了一种图形生成器,它在数学上易于处理,并且与该属性集合匹配。主要思想是使用非标准矩阵运算Kronecker产品来生成我们称为“ Kronecker图”的图。我们证明了Kronecker图自然地服从了所有上述特性。实际上,我们可以严格证明他们这样做。我们还提供了经验证据,表明它们可以很好地模仿几个真实图形。

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