Self-similarity of complex networks has been discovered and attracted much attention. However, the self-similarity of complex networks was measured by the classical distance of nodes. Recently, a new feature, which is named as degree–degree distance, is used to measure the distance of nodes. ...
We demonstrate that the self-similarity of some scale-free networks with respect to a simple degree-thresholding renormalization scheme finds a natural interpretation in the assumption that network nodes exist in hidden metric spaces. Clustering, i.e., cycles of length three, plays a crucial role ...
A. Self-similarity of complex networks. Nature 433, 392–394 (2005). Article ADS Google Scholar Taylor, G. I. The formation of a blast wave by a very intense explosion. I: Theoretical discussion. Proc. R. Soc. Lond. A 201, 159–174 (1950). Article ADS MATH Google Scholar Taylor...
Creativity and communication processes in engineering education have become more and more necessary in highly complex structures such as technological networks and virtual reality. These issues also include an educational challenge for university: all education for the future has to be based on experiencin...
Define Self-similarity. Self-similarity synonyms, Self-similarity pronunciation, Self-similarity translation, English dictionary definition of Self-similarity. adj. Having a substructure analogous or identical to an overall structure. In mathematics, cer
weighted PPI networks.The results show that self-similarity is still present in generated weighted PPI networks.This implies that it is viable to expand the study of properties of complex networks to a wider field including more complex weighted networks and possibly directed complex networks. ...
网络自相似性模型 例句 释义: 全部,自相似性模型
The effects of structural and group knowledge on complex problem solving performance This thesis analyzes the influence of structural knowledge on the individual level and the influence of knowledge heterogeneity on the group level on complex problem solving (CPS) performance. For the elicitation of str...
These clusters serve as abstract models of computation for the synthesized PEs within the parallel execution model. Finally, exploiting the fractal and complex networks concepts, we extract in-depth features from graphs that serve as inputs for distributed reinforcement learning. Our experimental results...
In this paper, we intend to develop a subnetwork investigation algorithm based on the edges instead of nodes. We focus on one kind of typical complex networks, the scale-free networks with self-similarity in the structure, which makes it clear to observe the effectiveness of the sampling. Thes...