| 基于改进PageRank算法的引文文献排序方法 |
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| 引用本文： | 段庆锋,朱东华,汪雪锋.基于改进PageRank算法的引文文献排序方法[J].情报理论与实践,2012,35(1):115-119. |
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| 作者姓名： | 段庆锋 朱东华 汪雪锋 |
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| 作者单位： | 1. 中北大学经济与管理学院,山西太原030051／北京理工大学管理与经济学院,北京100081
2. 北京理工大学管理与经济学院,北京,100081 |
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| 基金项目： | 国家自然科学基金委主任基金项目“科学基金环境类项目绩效评估方法研究”资助的成果之一,项目编号:J0910016 |
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| 摘 要： | 通过引文网络的结构特征，有效地识别科学文献的价值并建立某种序关系，为科学评价提供了有价值的参考，也丰富了科学评价的方法。针对传统PageRank算法在引文网络中得到的结果倾向于发表时间久的文献，而不利于发表时间较短但具有学术影响潜力的文献，为了消除这种“不公平”性，将引文间隔时间引入算法中。图书馆与情报学领域的实证研究说明改进算法有效地优化了评价的结果，相对于传统PageRank算法更有利于发现具有潜力的新发表的文献。
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| 关 键 词： | 算法 引文文献 排序 评价 |
Ranking Method of Citation Literatures Based on Improved PageRank Algorithm |
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| Institution: | Duan Qingfeng et al. |
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| Abstract: | Based on the structural characteristics of the citation network,this paper identifies the value of scientific literatures effectively and establishes certain ranking relationships,which not only provides valuable references for scientific evaluation,but also enriches the scientific evaluation method.In view of the fact that the results obtained by the classical PageRank algorithm from the citation network tend to be the literatures published long ago,which is unfavorable to those published not long ago but having potential academic influence,and in order to eliminate this "unfairness",this paper introduces the citation interval into the algorithm.The empirical studies in the LIS field shows that the improved algorithm optimizes the evaluation results effectively,which is more favorable to finding newly-published literatures with potential academic influence compared with the classical PageRank algorithm. |
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| Keywords: | algorithm citation literature ranking evaluation |
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