Deterministic weighted scale-free small-world networks

Details Deterministic weighted scale-free small-world networks Deterministic weighted scale-free small-world networks

2009-10-07

arxiv.org/abs/0910.1140v2

Physical A, Vol. 04, No.003, 2010

Physics

Condensed Matter

Statistical Mechanics

a paper with 15 pages and 5 figures

Scientific paper

10.1016/j.physa.2010.04.003

We propose a deterministic weighted scale-free small-world model for considering pseudofractal web with the coevolution of topology and weight. In the model, we have the degree distribution exponent $\gamma$ restricted to a range between 2 and 3, simultaneously tunable with two parameters. At the same time, we provide a relatively complete view of topological structure and weight dynamics characteristics of the networks: weight and strength distribution; degree correlations; average clustering coefficient and degree-cluster correlations; as well as the diameter. We show that our model is particularly effective at mimicing weighted scale-free small-world networks with a high and relatively stable clustering coefficient, which rapidly decline with the network size in most previous models.

Affiliated with

Also associated with

No associations

Rating

Deterministic weighted scale-free small-world networks 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 Deterministic weighted scale-free small-world networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Deterministic weighted scale-free small-world networks will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-35500