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基于改进PageRank算法的论文学术影响力评价研究

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本研究在文献引用网络基础上,综合已有方法发现先前研究较少考虑论文被引时间异质性和首次被引时间分布特征等因素.在此基础上聚焦论文被引时间异质性和首次被引时间分布特征,改进PageRank算法的方法,提出评价论文学术影响力的TPR新指标.以提升对文献学术影响力的有效性.
Research on the Evaluation of Academic Impact of Papers Based on Improved PageRank Algorithm
Based on the literature citation network,this study synthesizes the existing methods and finds that the previous studies have less considered the factors of heterogeneity of citation time and distribution characteristics of first citation time.On this basis,focusing on the heterogeneity of citation time and the distribution characteristics of first citation time,we improve the method of PageRank algorithm and put forward a new index of TPR for evaluating the academic influence of papers.In order to improve the effectiveness of academic influence on literature.

PageRank algorithmcitation networkinfluenceevaluation indexes

卫安康

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南昌航空大学,南昌 330038

PageRank算法 引用网络 影响力 评价指标

2024

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ISSN:1672-9129
年,卷(期):2024.(12)