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通过对SCI和CNKI数据库中数学等学科50年的引文数据分析可知,学术论文自身条件和信息环境是影响其知识转移的主要因素,知识元在学术论文间的运动是导致学术论文老化和创新的根本原因。学术论文间的引证关系揭示了学术论文间知识的运动轨迹。因而,可以利用学术论文中知识元转移的数量测度学术论文的老化度和创新度。假设学术论文是一组知识元的逻辑组合,其中含有m个知识元和n个创新知识元(其中m≥n),则学术论文在其学术生命周期中第i年的老化度Ai=Σi1Si n,创新度Ii==m-Σi1Si n。
Through analyzing the citation data of mathematics and other disciplines in SCI and CNKI for 50 years, we can see that the conditions of academic papers and the information environment are the main factors affecting their knowledge transfer. The movement of knowledge elements among academic papers leads to the aging and innovation of academic papers root cause. The citations between academic papers reveal the movement of knowledge among theses. Therefore, we can use the quantity of knowledge meta-transfer in academic papers to measure the degree of aging and the degree of innovation of academic papers. Assuming that a scholarly thesis is a logical combination of a set of knowledge elements containing m knowledge elements and n innovation knowledge elements (where m≥n), then the degree of aging of the dissertation in year i of its academic life cycle Ai = Σi1Si n , Degree of innovation Ii == m-Σi1Si n.