Opening the black box of bibliometric mapping algorithms: Which algorithm should I choose?

被引：0
|
作者：
Held, Matthias [1 ]
机构：
[1] TU Berlin, Social Studies Sci & Technol, Hardenbergstr 16-18, D-10623 Berlin, Germany
来源：
18TH INTERNATIONAL CONFERENCE ON SCIENTOMETRICS & INFORMETRICS (ISSI2021) | 2021年
关键词：
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The task of bibliometric mapping involves the usage of a data model together with an algorithm to analyze the data. In the last years, we learned more about the behavior of data models like co-citation or bibliographic coupling and their usefulness for certain tasks. From these studies, however, we learn relatively little about the impact of the choice of the algorithm. Usually, bibliometric mapping algorithms are imported from other disciplines, which means that they have not been developed for this particular purpose. We provide here a framework to analyze if the different assumptions on the data that these algorithms make correspond with the properties of topics they are trying to reconstruct.
引用
收藏
页码：527 / 532
页数：6
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