Linux与人类代谢的自相似性实证研究

Empirical Investigation of the Self-similarity in Linux and Human Metabolism

对现实世界复杂网络的自相似性进行实证分析是当前该领域的一个热点问题。文章首先介绍了复杂网络自相似性的基本概念,随后阐述了自相似指数及其计算方法盒覆盖算法的基本原理和方法,最后对Linux与人类代谢这两种不同类型的复杂系统进行自相似性实证研究。研究结果表明,它们都是自相似的。

Empirical analysis of the self - similarity for real - world complex networks is a hot issue in related fields. The present paper introduced the self - similarity of complex network firstly. We then expatiated on the bas- ic principle and method about self- similarity exponential and its box covering algorithm computational method. At last, we studied the self - similarity of two kinds of real - world complex systems, Linux and human metabolism. The results suggest that both of ~he systems are self- similarity.