This paper utilizes social network analysis to create a comprehensive evolution system to determine the significance of research papers. Citation network was analyzed from H-index, Impact factor and relative citation rate, which indicates the influence of the author, published journal and the paper on the field respectively. Influence citation network was built visually though transforming the 16 science network paper’s citation multi-value matrix into two-value matrix in UCINET and by analyzing those influence measures, the scores of each paper were calculated and results maps through visualization. The results concern: the paper of Collective dynamics of `small-world' networks laid a foundation on network science. Besides, a general methodology is provided to determine the role or influence measure of academic journals.
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