基于引用-作者联合传播的学术影响力度量

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中文信息学报 ›› 2022, Vol. 36 ›› Issue (7) : 132-142.

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基于引用-作者联合传播的学术影响力度量

李思莹^1,2,沈华伟^1,2,徐冰冰^1,2,程学旗^1,2

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Scientific Impact Evaluation Based on Citation-Authorship Joint Diffusion

LI Siying^1,2, SHEN Huawei^1,2, XU Bingbing^1,2, CHENG Xueqi^1,2

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摘要

科研人员学术影响力评价是科学计量领域备受关注的问题。目前的主流评价方法分为两类: 一类方法通过科研人员的学术产出直接定义其学术影响力的量化指数,如总引用量、h-指数等;另一类方法基于论文引用网络建模学术影响力传播,从而对科研人员学术影响力进行排序评价,如PageRank算法等。现有影响力评价方法主要将论文引用关系作为影响力传播的载体,忽略了科研人员自身作为影响力传播载体的重要作用。该文提出了一种基于影响力传播的科研人员学术影响力度量新方法,该方法同时建模了论文引用和科研人员在学术影响力传播中的作用。在美国物理学会旗下所有11个刊物的463 348篇论文数据集上的实验表明,该文方法在科研人员影响力度量方面优于现有仅考虑论文引用的评价方法。

Abstract

Scientific impact evaluation of researchers is a long-standing challenge in the field of scientometrics. In existing scientific impact evaluation methods, only citation relationship between papers is effective as the carrier in the scientific impact diffusion process, without considering the role of researchers themselves. In this paper, a new evaluation method is proposed for evaluating researchers' scientific impact via the impact diffusion process. Citation relationship and authorship are simultaneously modeled in the proposed method. Verified in all 11 journals and 463,348 papers in the American Physical Society dataset, our proposed method is confirmed to be superior to the existing evaluation methods that only consider citation relationship.

导出引用

李思莹,沈华伟,徐冰冰,程学旗. 基于引用-作者联合传播的学术影响力度量. 中文信息学报. 2022, 36(7): 132-142

LI Siying, SHEN Huawei, XU Bingbing, CHENG Xueqi. Scientific Impact Evaluation Based on Citation-Authorship Joint Diffusion. Journal of Chinese Information Processing. 2022, 36(7): 132-142

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基金

国家自然科学基金(91746301, 62041207)

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2021-03-19	2022-09-01
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