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Critical thinking of scale-free networks: similarities and differences in power-law random graphs
  • 期刊名称:National Science Review
  • 时间:2014.8
  • 页码:337-338
  • 分类:O157.5[理学—数学;理学—基础数学]
  • 作者机构:Department of Mathematics, Shanghai University
  • 相关基金:supported by the National Natural Science Foundation of China(61174160)
  • 相关项目:复杂网络中的几个理论问题
作者: Dinghua Shi|
中文摘要:

<正>Barab′asi and Albert proposed the scalefree network model[1]without a precise mathematical deinition,only simply saying that the network degree distribution has a power-law tail of the form P(k)~k-γ.Up to now,the academic community still retains this expression.Unlike such scale-free networks,the deinition of power-law random graph

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