Social Network Analysis applied to scientific publications: the case of the journal Information Professional

被引：0
|
作者：
Berrocal, Jose Luis Alonso [1 ]
Figuerola, Carlos G. [1 ]
机构：
[1] Univ Salamanca, Inst Estudios Ciencia & Tecnol, Salamanca, Spain
来源：
SCIRE-REPRESENTACION Y ORGANIZACION DEL CONOCIMIENTO | 2024年 / 30卷 / 01期
关键词：
Social network analysis; Detection of communities; Topic detection; Scientific journals; Information professional (journal); SCIENCE; COLLABORATION; COOCCURRENCE; EVOLUTION; LIBRARY;
D O I：
暂无
中图分类号：
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号：
1205 ; 120501 ;
摘要：
The journal El Profesional de la Informaci & oacute;n (EPI) is analysed using social network analysis techniques. The years from 2006 to 2023 were analysed by downloading the data available on the web using an ad hoc crawler. The different analyses of the data, obtained from the existing metadata, made it possible to characterise the existing links between the authors of the publications, to analyse the co-occurrence of words in the titles of the articles and to detect the existing communities, both of authors and of keywords.
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页数：14
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