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A Deterministic Box-covering Algorithm for Fractal Dimension Calculation of Complex Networks

机译:复杂网络分形尺寸计算的确定性盒覆盖算法

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Calculating the fractal dimension of complex networks by using a box-covering algorithm has attracted tremendous attention. However, the existing methods have randomness characteristics and depend on heavy computational bandwidth. To address these issues, deterministic box-covering algorithm is proposed for the calculation of fractal dimension in this paper. Firstly, the weight of each edge is obtained by the multiplication of degrees of the two connected nodes, and nodes are colored in order of degree from large to small. Furthermore, the sequence of nodes with the same degree is rearranged to get the minimum number of boxes. The Lastly, the fractal dimensions of a theoretical scale-free network and three real networks are investigated by the deterministic box-covering algorithm. All these results demonstrate that deterministic box-covering algorithm is serviceable in fractal dimension calculation of complex networks with high accuracy and less calculation.
机译:通过使用盒子覆盖算法计算复杂网络的分形维数引起了巨大的关注。然而,现有方法具有随机性特性,取决于重型计算带宽。为了解决这些问题,提出了用于计算本文的分形维数的确定性盒覆盖算法。首先,通过乘以两个连接的节点的乘法来获得每个边缘的重量,并且节点按大于大小小的程度着色。此外,重新排列具有相同程度的节点的序列以获得最小数量的盒子。最后,通过确定性盒覆盖算法研究了无论自由网络和三个真实网络的分形尺寸。所有这些结果表明确定性箱覆盖算法可用于具有高精度和计算的复杂网络的分形维数计算。

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