Strength Distribution in Derivative Networks

Details Strength Distribution in Derivative Networks Strength Distribution in Derivative Networks

2005-01-11

arxiv.org/abs/cond-mat/0501252v1

Physics

Condensed Matter

Statistical Mechanics

5 pages, 2 figure

Scientific paper

10.1142/S0129183105007765

This article describes a complex network model whose weights are proportional to the difference between uniformly distributed ``fitness'' values assigned to the nodes. It is shown both analytically and experimentally that the strength density (i.e. the weighted node degree) for this model, called derivative complex networks, follows a power law with exponent $\gamma<1$ if the fitness has an upper limit and $\gamma>1$ if the fitness has no upper limit but a positive lower limit. Possible implications for neuronal networks topology and dynamics are also discussed.

Affiliated with

Also associated with

No associations

Rating

Strength Distribution in Derivative 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 Strength Distribution in Derivative Networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Strength Distribution in Derivative Networks will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-201497