加权引用视角下的作者学术影响力评价研究

发布时间：2018-05-05 01:18

  本文选题：作者学术影响力 + 加权引用　； 参考：《情报学报》2017年08期

【摘要】：在阐释作者加权引用内涵与类型基础上,从非迭代加权引用和迭代加权引用两个视角构建作者学术影响力评价模型。以国际信息计量学领域学者为评价对象,比较和检验了这两种模型之间以及与其他普遍流行的指标模型——被引次数、h指数、传统加权PageRank、加权PageRank_D之间的联系与区别。结果表明非迭代加权引用模型与迭代加权引用模型之间有很显著的较强相关性,但是两者之间仍然存在一定差异。迭代加权引用模型的检验效果最好,非迭代加权引用模型的检验效果居中,但AUC检验值也达到了0.9以上,检验效果亦优良。非迭代加权引用模型简单易懂、便于操作,能够较好地甄别出"领域活跃者";而迭代加权引用模型算法精准,能够较好地甄别出"领域先行者"。在实际中,可以根据自身需求选择最合适的评价模型。
[Abstract]:On the basis of explaining the connotation and type of author's weighted citation, the author's academic influence evaluation model is constructed from the perspectives of non-iterative weighted citation and iterative weighted citation. Taking international researchers in the field of information metrology as the evaluation object, this paper compares and tests the relationship and difference between the two models and other popular index models, such as the index of cited times, the traditional weighted Page rank, and the weighted PageRank_D. The results show that there is a strong correlation between the non-iterative weighted reference model and the iterative weighted reference model, but there are still some differences between the two models. The test effect of the iterative weighted citation model is the best, the non-iterative weighted citation model is the middle, but the AUC test value is more than 0. 9, and the test effect is also good. The non-iterative weighted reference model is easy to understand, easy to operate, and can be used to identify the "domain active", while the iterative weighted reference model algorithm is accurate and can be used to identify the "domain pioneer". In practice, the most suitable evaluation model can be selected according to its own needs.
【作者单位】： 山西大学管理与决策研究所山西大学科学评价研究中心;
【基金】：国家社会科学基金青年项目“作者引用网络模式与功效研究”(12CTQ026) 山西省高等学校优秀青年学术带头人项目“基于作者学术关系的学科知识图谱研究”(2014052006)
【分类号】：G353.1
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本文编号：1845541