基于聚合的世界大学综合排名方法研究
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摘要
随着社会对高等教育的需求日益提升,形形色色的世界大学排行榜应运而生。然而,各种榜单之间的显著差异使得决策者在运用榜单时困惑不已。在总结当前世界大学排名存在的问题基础上,提出基于聚合的世界大学排名思想进而提出基于竞争图的世界大学综合排名方法。实证分析结果表明本方法提升了大学排名的准确性和客观性,可以平滑大学排名中的误差,而且对各地区的排名更加公正。
With the increasing demand for high education,many university rankings have been proposed in recent decades. However, the remarkable divergence among various rankings leads to confusion for decision-makers. In this paper,we propose a comprehensive world university ranking by aggregating existing individual university rankings. We present a new graph-based rank aggregation method by defining a competition graph of universities. The results show that the aggregated ranking increases the accuracy and objectiveness of ranking and can efficiently eliminate the outliers and regional partiality as a "smoother".
With the increasing demand for high education,many university rankings have been proposed in recent decades. However, the remarkable divergence among various rankings leads to confusion for decision-makers. In this paper,we propose a comprehensive world university ranking by aggregating existing individual university rankings. We present a new graph-based rank aggregation method by defining a competition graph of universities. The results show that the aggregated ranking increases the accuracy and objectiveness of ranking and can efficiently eliminate the outliers and regional partiality as a "smoother".
引文
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[4]赵锋,白玫.大学排名:批判、存在与发展[J].河北师范大学学报:教育科学版,2016(3):102-107.
[5] Xiao Y,Deng Y, Wu J,et al. Comparison of rank aggregation methods based on inherent ability[J]. Naval Research Logistics,2017(6):556-565.
[6] Langville A N,Meyer C D. Who’s#1?:The Science of Rating and Ranking[M]. Princeton:Princeton University Press,2012:159-181.
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[2]葛少卫,杨晓江.基于网络计量学的大学排行榜影响力研究[J].高教探索,2018(1):28-37.
[3]张旺,华晓玲,邵艳霞.大学排名对学生择校和大学招生的影响———以《美国新闻与世界报道》的大学排名为例[J].高教探索,2011(5):44-47.
[4]赵锋,白玫.大学排名:批判、存在与发展[J].河北师范大学学报:教育科学版,2016(3):102-107.
[5] Xiao Y,Deng Y, Wu J,et al. Comparison of rank aggregation methods based on inherent ability[J]. Naval Research Logistics,2017(6):556-565.
[6] Langville A N,Meyer C D. Who’s#1?:The Science of Rating and Ranking[M]. Princeton:Princeton University Press,2012:159-181.
[7] Dwork C,Kumar R,Naor M,et al. Rank aggregation methods for the Web[C]. Hong Kong:ACM,2001:613-622.