Clustering as a measure of the local topology of networks

Details Clustering as a measure of the local topology of networks Clustering as a measure of the local topology of networks

2006-05-26

arxiv.org/abs/physics/0605235v4

Physics

Data Analysis, Statistics and Probability

5 pages (twocolumn), 4 figures, submitted; (v4: major changes to structure and presentation, included new results on network m

Scientific paper

Usual formulations of the clustering coefficient can be shown to be insufficient in the task of describing the local topology of very simple networks. Motivated by this, we review some alternatives in order to present an extension, the clustering profile. We show, both conceptually and through applications to well studied networks, that this measure is a more complete and robust measure of clustering. It imposes stringent constraints on theoretical growth models, specially on aspects of the network structure that play a central role in dynamics on networks. In addition, we study how it provides a richer perspective of phenomena such as hierarchy, small-worlds and clusterization.

Affiliated with

Also associated with

No associations

Rating

Clustering as a measure of the local topology of 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 Clustering as a measure of the local topology of networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Clustering as a measure of the local topology of networks will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-239011