Detection of network inhomogeneity by total neighbor degree

Details Detection of network inhomogeneity by total neighbor degree Detection of network inhomogeneity by total neighbor degree

2009-11-16

arxiv.org/abs/0911.3018v2

Physics

Condensed Matter

Statistical Mechanics

10 pages, 3 figures

Scientific paper

Inhomogeneity in networks can be detected by the analysis of the correlation of the total degree of nearest neighbors. This is illustrated by two models. The first one is a random multi-partitions network that the Aboav Weaire law, which predicts the linear relationship between the degree of node and the total degree of nearest neighbor, is being extended. The second one is a preferential attachment network with two partitions which shows scale free properties with power tail $\gamma$ within the range $2<\gamma\le3$. By plotting the total degree of neighbor verses the degree of each node in the networks, the scattered plot shows separable clustering as evidence for inhomogeneity in networks. The effectiveness of this new tool for the detection of inhomogeneity is demonstrated in real bipartite networks. By using this method, some interesting group of nodes of semantic and WWW networks have been found.

Affiliated with

Also associated with

No associations

Rating

Detection of network inhomogeneity by total neighbor degree 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 Detection of network inhomogeneity by total neighbor degree, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Detection of network inhomogeneity by total neighbor degree will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-499203