Analysis of scale-free networks based on a threshold graph with intrinsic vertex weights

Details Analysis of scale-free networks based on a threshold graph with intrinsic vertex weights Analysis of scale-free networks based on a threshold graph with intrinsic vertex weights

2004-03-20

arxiv.org/abs/cond-mat/0403524v5

Physical Review E, 70, 036124 (2004)

Physics

Condensed Matter

Other Condensed Matter

5 figures

Scientific paper

10.1103/PhysRevE.70.036124

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.

Affiliated with

Also associated with

No associations

Rating

Analysis of scale-free networks based on a threshold graph with intrinsic vertex weights does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Analysis of scale-free networks based on a threshold graph with intrinsic vertex weights, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Analysis of scale-free networks based on a threshold graph with intrinsic vertex weights will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-701240