OpenAccessBelV2, OpenAccess, Analysis, bibRecord, 000042

Study on themes and authors' influence of open access in China

Identifieur interne : 000042 ( OpenAccess/Analysis ); précédent : 000041; suivant : 000043

Study on themes and authors' influence of open access in China

Auteurs : RONGYING ZHAO [République populaire de Chine] ; SHENGNAN WU [République populaire de Chine]

Source :

Scientometrics : (Print) [ 0138-9130 ] ; 2014.

RBID : Pascal:14-0270426

Descripteurs français

Pascal (Inist)
- Analyse cooccurrence, Amas, Analyse mots associés, Couplage, Analyse corrélation, Recherche scientifique, Mot associé.
Wicri :
- topic : Recherche scientifique.

English descriptors

KwdEn :
- Cluster, Cooccurrence analysis, Correlation analysis, Coupling, Coword, Coword analysis, Scientific research.

Abstract

Using Chinese National Knowledge Infrastructure as the data resource, this paper searched some papers about open access (OA). Some Visual Basic for Applications programs were developed to generate the co-word matrix, compute the E-index value of keywords as well as the density and centrality of thematic clusters. Callon's clustering method was also used to generate keywords clusters. Then, co-word analysis method and strategic diagrams were utilized to detect the main research themes as well as explore the development situation and status of these research themes. Furthermore, author-themes coupling network was mapped with the help of Netdraw in order to detect the relationship between core authors and research themes of OA as well as the core authors' influence on these themes. Based on this, some conclusions were got in the end.

Affiliations:

République populaire de Chine

Links to Exploration step

Pascal:14-0270426

Le document en format XML

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<front><div type="abstract" xml:lang="en">Using Chinese National Knowledge Infrastructure as the data resource, this paper searched some papers about open access (OA). Some Visual Basic for Applications programs were developed to generate the co-word matrix, compute the E-index value of keywords as well as the density and centrality of thematic clusters. Callon's clustering method was also used to generate keywords clusters. Then, co-word analysis method and strategic diagrams were utilized to detect the main research themes as well as explore the development situation and status of these research themes. Furthermore, author-themes coupling network was mapped with the help of Netdraw in order to detect the relationship between core authors and research themes of OA as well as the core authors' influence on these themes. Based on this, some conclusions were got in the end.</div>
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Study on themes and authors' influence of open access in China

Study on themes and authors' influence of open access in China

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

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