| DC Field | Value | Language |
|---|
| dc.contributor.author | Moskovkin, V. M. | - |
| dc.contributor.author | Sizyoongo, Munenge | - |
| dc.contributor.author | He, Zhang | - |
| dc.contributor.author | Sadovski, M. V. | - |
| dc.date.accessioned | 2021-10-07T09:45:14Z | - |
| dc.date.available | 2021-10-07T09:45:14Z | - |
| dc.date.issued | 2021 | - |
| dc.identifier.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. | ru |
| dc.identifier.uri | http://dspace.bsu.edu.ru/handle/123456789/44082 | - |
| dc.description.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 | ru |
| dc.language.iso | en | ru |
| dc.subject | Universities | ru |
| dc.subject | website languages | ru |
| dc.subject | social networking sites | ru |
| dc.subject | social media presence | ru |
| dc.subject | binary matrix approach | ru |
| dc.title | Structures of THE, QS and ARWU Top 100 universities’ websites in different languages and social media accounts: Binary matrix approach | ru |
| dc.type | Article | ru |
| Appears in Collections: | Статьи из периодических изданий и сборников (на иностранных языках) = Articles from periodicals and collections (in foreign languages)
|
