Intellectual Search of Emerging Research Fields Utilizing Large Scientific Publication Arrays: "Public Governance" Field as an Example

被引:0
作者
Matraeva, Liliia [1 ]
Sunaeva, Julia [1 ]
Belyak, Alexey [1 ]
Korolkova, Natalia [1 ]
Kaurova, Olga [2 ]
机构
[1] Russian State Social Univ, V Pika 4, Moscow, Russia
[2] Russian Univ Cooperat, St Vera Voloshinoy D 12-30, Mytishchi, Moscow Region, Russia
来源
TEM JOURNAL-TECHNOLOGY EDUCATION MANAGEMENT INFORMATICS | 2020年 / 9卷 / 01期
基金
俄罗斯基础研究基金会;
关键词
scientometric analysis; research front; research base; public governance; DETECTING RESEARCH FRONTS; SCIENCE; COCITATION; CITESPACE; NETWORKS; PATTERNS; CITATION; BASE;
D O I
10.18421/TEM91-29
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In order to predict the development of any scientific field of knowledge, it is necessary to present modern achievements and discoveries, authoritative expert opinions of key scientists of the studied area. However, the Modern "digital Universe" is changing and expanding at such a speed that doubles the amount of data every two years, which has led to the accumulation of huge streams of scientific information that it has become impossible to be covered fully based on traditional scientific search techniques. This article's outcomes can be used as an intellectual basis by scientists involved in this progressing topic.
引用
收藏
页码:205 / 215
页数:11
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