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目的/意义]研究学术论文内容的组合新颖性与其学术影响力的关系,为研究论文的学术影响力提供新的研究视角。[方法/过程]采用文本挖掘方法对论文题目、摘要和关键词中的主题词进行提取,通过构建领域主题词共现网络,为每篇论文设计了新颖组合率、中等组合率和常规组合率3个指标,将领域论文划分为不同的新颖性/常规性类型,然后对不同类型论文中高被引论文所占的比例进行统计分析。[结果/结论]同时具有主题词组合高新颖性和高常规性特点的论文成为高被引论文的几率显著高于其他类型的论文,因此建议研究者在科学研究中应注重新颖知识与常规知识的适当组合。
Purpose / Significance] To study the relationship between the combination novelty of academic dissertation content and its academic influence, and to provide a new research perspective on the academic influence of the dissertation. [Methods / Procedures] The text mining method is used to extract the keywords in the thesis title, abstract and keywords. By constructing the co-occurrence network in the field, a novel combination rate, a medium combination rate and a conventional combination rate 3 indicators, the domain papers are divided into different types of novelty / regularity, and then analyze the proportion of highly cited papers in different types of papers for statistical analysis. [Results / Conclusions] The probability of a thesis with high novelty and high regularity of keyword combination being highly cited is significantly higher than that of other types of papers. Therefore, it is suggested that researchers should pay attention to new knowledge and common sense in scientific research The right combination.