Skip navigation
BelSU DSpace logo

Please use this identifier to cite or link to this item: http://dspace.bsu.edu.ru/handle/123456789/44082
Title: Structures of THE, QS and ARWU Top 100 universities’ websites in different languages and social media accounts: Binary matrix approach
Authors: Moskovkin, V. M.
Sizyoongo, Munenge
He, Zhang
Sadovski, M. V.
Keywords: Universities
website languages
social networking sites
social media presence
binary matrix approach
Issue Date: 2021
Citation: Structures of THE, QS and ARWU Top 100 universities’ websites in different languages and social media accounts: Binary matrix approach / V.M. Moskovkin [et al.] // Malaysian Journal of Library & Information Science. - 2021. - Vol.26, №2.-P. 37-67. - Doi: 10.22452/mjlis.vol26no2.3.
Abstract: The aim of the study is to understand how the diversity of university language websites and social networks influence the universities’ reputation in the World University Rankings and how this diversity can be described. Combining the union of sets of university names in Times Higher Education (THE), QS World University Ranking (QS), and Academic Ranking of World Universities (ARWU) 2018, the World’s Top 100 Universities Rankings enabled us to obtain a set of 146 universities
URI: http://dspace.bsu.edu.ru/handle/123456789/44082
Appears in Collections:Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)

Files in This Item:
File Description SizeFormat 
Moskovkin_Structures_THE_2021.pdf616.19 kBAdobe PDFView/Open
Show full item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.