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中文摘要：
评价论文影响力是科学计量学领域的重要内容.科学引文网反应了论文之间的相互引用关系.本文基于H指数的思想对于评价论文影响力提出"H算法",进而提出改进后的"H+算法"用以解决H算法简并度高的问题.把算法应用在美国物理学会(APS)提供的科学引文网中,实验结果表明,两种算法计算出的评价指标呈现高端幂律分布.这两种算法比PageRank算法的时间复杂度都要低;在评价优秀论文方面的表现上,"H算法"准确率优于PageRank算法.
英文摘要：
Influence evaluation is important in scientific bibliometrics.The science citation network reflects reference relationship of papers published by scientists.We propose an “H algorithm”to evaluate paper influence.This is based on the H-index and we propose an improved “H+ algorithm”to solve the high degeneracy of “H algorithm”.Algorithm in science citation network offered by APS was used and it was found that evaluation index of the two algorithms show top power-law distribution.Time complexity of the two algorithms is lower than the PageRank algorithm;Accuracy rate to evaluate excellent papers of “H algorithm”is higher than PageRank algorithm.
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