Schneider Christian M, Kesselring Tobias A, Andrade José S, Herrmann Hans J
Computational Physics, Institute for Building Materials, Eidgenössische Technische Hochschule Zürich, Schafmattstrasse 6, 8093 Zurich, Switzerland.
Phys Rev E Stat Nonlin Soft Matter Phys. 2012 Jul;86(1 Pt 2):016707. doi: 10.1103/PhysRevE.86.016707. Epub 2012 Jul 18.
The self-similarity of complex networks is typically investigated through computational algorithms, the primary task of which is to cover the structure with a minimal number of boxes. Here we introduce a box-covering algorithm that outperforms previous ones in most cases. For the two benchmark cases tested, namely, the E. coli and the World Wide Web (WWW) networks, our results show that the improvement can be rather substantial, reaching up to 15% in the case of the WWW network.
复杂网络的自相似性通常通过计算算法进行研究,其主要任务是以最少数量的盒子覆盖结构。在此,我们引入一种盒子覆盖算法,在大多数情况下该算法优于先前的算法。对于所测试的两个基准案例,即大肠杆菌网络和万维网(WWW)网络,我们的结果表明改进幅度相当可观,在WWW网络的案例中达到了15%。