Preferential attachment mechanism (PAM) is considered to be one of the kernel ingredients in forming the scale-free topology of complex networks。 In our previous work， we investigated the PAM for a typical real-world complex network—citation network by considering the dynamic citation properties in nodes' in-degree。 And the short-term preferential attachment mechanism (SMPAM) is proposed to explore the reason for forming the scale-free topology of citation network。 Basing on SMPAM， we further proposed a scale-free network model for citation network。 The model just considers the citations that papers obtained in the recent one-year period to determine the attachment rate。 Taking the mean field method， we deduced the degree distribution of citation network and found that the model evolving into a scale-free network with the power-law exponent r=2。 The results by simulation also show a good power-law distribution of citation network， which exhibits the validity of the model proposed。
citation networkpreferential attachmenttime period
Ming-Yang Wang、Guang Yu、Da-Ren Yu
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Northeast Forestry Univ., Harbin, China
Harbin Inst. of Technol., Harbin, China
Xiamen(CN)
IEEE International Conference on Intelligent Computing and Intelligent Systems
NETL
