Using bibliometric maps to visualise term distribution in scientific papers

被引:7
作者
Buter, RK [1 ]
Noyons, ECM [1 ]
机构
[1] Leiden Univ, Ctr Sci & Technol Studies, NL-2300 RA Leiden, Netherlands
来源
SIXTH INTERNATIONAL CONFERENCE ON INFORMATION VISUALISATION, PROCEEDINGS | 2002年
关键词
D O I
10.1109/IV.2002.1028851
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Bibliometric maps are scaled representations of clusters of papers and provide an overview of a scientific field as provided by those papers and the references between them. We have enhanced our interactive bibliometric explorer (IBEX) to visualise the distribution of phrases over such bibliometric maps. Assuming that generic (non-content-bearing) phrases occur in most of the papers in the map, those phrases confined to a specific part of the map will probably, be more content-bearing than those distributed all over the map. Such knowledge can eventually be used to evaluate a selection of words and phrases.
引用
收藏
页码:697 / 702
页数:6
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