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Please use this identifier to cite or link to this item: http://hdl.handle.net/10481/41528

Title: Using network centrality measures to improve national journal classification lists
Authors: Zuccala, Alesia
Robinson-García, Nicolás
Repiso Caballero, Rafael
Torres-Salinas, Daniel
Issue Date: 2-Jun-2016
Abstract: In countries like Denmark and Spain classified journal lists are now being produced and used in the calculation of nationwide performance indicators. As a result, Danish and Spanish scholars are advised to contribute to journals of high 'authority' (as in the former) or those within a high class (as in the latter). This can create a few problems. The aim of this paper is to analyse the potential use of network centrality measures to identify possible mismatches of journal categories. It analysis the Danish National Authority List and the Spanish CIRC Classification. Based on a sample of Library and Information Science publications, it analyses centrality measures that can assess on the importance of journals to given fields, correcting mismatches in these classifications. We conclude by emphasising the use of these measures to better calibrate journal classifications as we observe a general bias in these lists towards older journals. Centrality measures can allow to identify periphery-to-core journals' transitions.
Sponsorship: Nicolás Robinson-García is supported by a Juan de la Cierva-Formación Fellowship granted by the Spanish Ministry of Economy and Competitiveness.
Description: Proceedings of the 21st International Conference on Science and Technology Indicators (STI 2016). València (Spain), September 14-16, 2016.
Keywords: Journals
Social Networks Analysis
Clasificación CIRC
Bibliometric Indicators
Journal lists
Network centrality measures
Journal categories
CIRC Classification
URI: http://hdl.handle.net/10481/41528
Rights : Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License
Appears in Collections:EC3 - Comunicaciones Congresos, Conferencias, ...

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