A Simple Model of Scale-free Networks Driven by both Randomness and Adaptability

dc.creatorShi, Dinghua
dc.creatorZhu, Xiang
dc.creatorLiu, Liming
dc.date2004-09-13
dc.date2004-09-22
dc.date.accessioned2026-07-07T05:52:41Z
dc.date.available2026-07-07T05:52:41Z
dc.descriptionIn this paper, we present a simple model of scale-free networks that incorporates both preferential & random attachment and anti-preferential & random deletion at each time step. We derive the degree distribution analytically and show that it follows a power law with the degree exponent in the range of (2,infinity). We also find a way to derive an expression of the clustering coefficient for growing networks and compute the average path length through simulation.
dc.description15 pages, 4 figures
dc.identifierhttps://arxiv.org/abs/physics/0409061
dc.identifierhttp://arxiv.org/abs/physics/0409061
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/86394
dc.subjectData Analysis, Statistics and Probability
dc.titleA Simple Model of Scale-free Networks Driven by both Randomness and Adaptability
dc.typetext

Files

Collections