arXiv · cond-mat/0403524
Analysis of scale-free networks based on a threshold graph with intrinsic vertex weights
Abstract
Many real networks are complex and have power-law vertex degree distribution, short diameter, and high clustering. We analyze the network model based on thresholding of the summed vertex weights, which belongs to the class of networks proposed by Caldarelli et al. (2002). Power-law degree distributions, particularly with the dynamically stable scaling exponent 2, realistic clustering, and short path lengths are produced for many types of weight distributions. Thresholding mechanisms can underlie a family of real complex networks that is characterized by cooperativeness and the baseline scaling exponent 2. It contrasts with the class of growth models with preferential attachment, which is marked by competitiveness and baseline scaling exponent 3.
Explore related subjects
Keep this discovery
Naoki Masuda, Hiroyoshi Miwa, Norio Konno. 2004-10-14. Analysis of scale-free networks based on a threshold graph with intrinsic vertex weights. https://doi.org/10.1103/physreve.70.036124
Cite the original work for its findings. Save a collection to share your selection of sources.