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  • 标题:A Review on Graphical Models of Complex Network
  • 本地全文:下载
  • 作者:ArchanaV.Kumar ; Jincy Elizabeth Varughese ; Dr. R. Vijayakumar
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2017
  • 卷号:6
  • 期号:8
  • 页码:15761
  • DOI:10.15680/IJIRSET.2017.0608033
  • 出版社:S&S Publications
  • 摘要:Complex networks describe a wide range of systems in nature and society.The complex network study isa relatively recent field, and it has been inspired by the observation of many real systems, such as biological, social ortechnological ones. The complex networks are a set of many connected nodes that interact in different ways. The nodesin a network are also called vertices or elements V, where is the total number of nodes in the network. Recently, ithas been empirically observed that, besides the spatially or topologically structured organization, the temporalconstraints imposed on many complex interacting systems add a further dimension crucial for understanding theirgeneric structure and dynamics. This paper reviews the structure and graphical models of complex networks.
  • 关键词:Complex network; Random graph; Scale free graph; Graph theory; Power-Law degree distribution
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