Correlations in Scale-Free Networks: Tomography and Percolation

Details Correlations in Scale-Free Networks: Tomography and Percolation Correlations in Scale-Free Networks: Tomography and Percolation

2003-03-13

arxiv.org/abs/cond-mat/0303252v2

Phys. Rev. E 68, 036119 (2003)

Physics

Condensed Matter

Statistical Mechanics

6 pages, 2 figures; added references

Scientific paper

10.1103/PhysRevE.68.036119

We discuss three related models of scale-free networks with the same degree distribution but different correlation properties. Starting from the Barabasi-Albert construction based on growth and preferential attachment we discuss two other networks emerging when randomizing it with respect to links or nodes. We point out that the Barabasi-Albert model displays dissortative behavior with respect to the nodes' degrees, while the node-randomized network shows assortative mixing. These kinds of correlations are visualized by discussig the shell structure of the networks around their arbitrary node. In spite of different correlation behavior, all three constructions exhibit similar percolation properties.

Affiliated with

Also associated with

No associations

Rating

Correlations in Scale-Free Networks: Tomography and Percolation 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 Correlations in Scale-Free Networks: Tomography and Percolation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Correlations in Scale-Free Networks: Tomography and Percolation will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-561964