Generalizations of the clustering coefficient to weighted complex networks

Details Generalizations of the clustering coefficient to weighted complex networks Generalizations of the clustering coefficient to weighted complex networks

2006-08-30

arxiv.org/abs/cond-mat/0608670v2

Phys. Rev. E 75, 027105 (2007)

Physics

Condensed Matter

Statistical Mechanics

4 pages, 1 table, 3 figures; revised version

Scientific paper

The recent high level of interest in weighted complex networks gives rise to a need to develop new measures and to generalize existing ones to take the weights of links into account. Here we focus on various generalizations of the clustering coefficient, which is one of the central characteristics in the complex network theory. We present a comparative study of the several suggestions introduced in the literature, and point out their advantages and limitations. The concepts are illustrated by simple examples as well as by empirical data of the world trade and weighted coauthorship networks.

Affiliated with

Also associated with

No associations

Rating

Generalizations of the clustering coefficient to weighted complex 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 Generalizations of the clustering coefficient to weighted complex networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Generalizations of the clustering coefficient to weighted complex networks will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-73749