Scaling of weighted spectral distribution in weighted small-world networks

在线阅读 下载PDF 导出详情
摘要 Manyreal-worldsystemscanbemodeledbyweightedsmall-worldnetworkswithhighclusteringcoefficients.Recentstudiesforrigorouslyanalyzingtheweightedspectraldistribution(WSD)havefocusedonunweightednetworkswithlowclusteringcoefficients.Inthispaper,werigorouslyanalyzetheWSDinadeterministicweightedscale-freesmall-worldnetworkmodelandfindthattheWSDgrowssublinearlywithincreasingnetworkorder(i.e.,thenumberofnodes)andprovidesasensitivediscriminationforeachinputofthismodel.ThisstudydemonstratesthatthescalingfeatureoftheWSDexistsintheweightednetworkmodelwhichhashighandorder-independentclusteringcoefficientsandreasonablepower-lawexponents.
机构地区 不详
出处 《中国物理B:英文版》 2017年2期
出版日期 2017年02月12日(中国期刊网平台首次上网日期,不代表论文的发表时间)
  • 相关文献