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Webometrics: evolution of social media presence of universities

Author

Listed:
  • Raheem Sarwar

    (University of Wolverhampton)

  • Afifa Zia

    (Information Technology University)

  • Raheel Nawaz

    (Manchester Metropolitan University)

  • Ayman Fayoumi

    (King Abdulaziz University)

  • Naif Radi Aljohani

    (King Abdulaziz University)

  • Saeed-Ul Hassan

    (Information Technology University)

Abstract

This paper aims at an important task of computing the webometrics university ranking and investigating if there exists a correlation between webometrics university ranking and the rankings provided by the world prominent university rankers such as QS world university ranking, for the time period of 2005–2016. However, the webometrics portal provides the required data for the recent years only, starting from 2012, which is insufficient for such an investigation. The rest of the required data can be obtained from the internet archive. However, the existing data extraction tools are incapable of extracting the required data from internet archive, due to unusual link structure that consists of web archive link, year, date, and target links. We developed an internet archive scrapper and extract the required data, for the time period of 2012–2016. After extracting the data, the webometrics indicators were quantified, and the universities were ranked accordingly. We used correlation coefficient to identify the relationship between webometrics university ranking computed by us and the original webometrics university ranking, using the spearman and pearson correlation measures. Our findings indicate a strong correlation between ours and the webometrics university rankings, which proves that the applied methodology can be used to compute the webometrics university ranking of those years for which the ranking is not available, i.e., from 2005 to 2011. We compute the webometrics ranking of the top 30 universities of North America, Europe and Asia for the time period of 2005–2016. Our findings indicate a positive correlation for North American and European universities, but weak correlation for Asian universities. This can be explained by the fact that Asian universities did not pay much attention to their websites as compared to the North American and European universities. The overall results reveal the fact that North American and European universities are higher in rank as compared to Asian universities. To the best of our knowledge, such an investigation has been executed for the very first time by us and no recorded work resembling this has been done before.

Suggested Citation

  • Raheem Sarwar & Afifa Zia & Raheel Nawaz & Ayman Fayoumi & Naif Radi Aljohani & Saeed-Ul Hassan, 2021. "Webometrics: evolution of social media presence of universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 951-967, February.
    • Handle: RePEc:spr:scient:v:126:y:2021:i:2:d:10.1007_s11192-020-03804-y
    DOI: 10.1007/s11192-020-03804-y
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    References listed on IDEAS

    as
    1. Raheem Sarwar & Saeed-UI Hassan, 2015. "A bibliometric assessment of scientific productivity and international collaboration of the Islamic World in science and technology (S&T) areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1059-1077, November.
    2. Saeed-Ul Hassan & Peter Haddawy & Pratikshya Kuinkel & Alexander Degelsegger & Cosima Blasy, 2012. "A bibliometric study of research activity in ASEAN related to the EU in FP7 priority areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 1035-1051, June.
    3. Andrea Bonaccorsi & Tindaro Cicero & Peter Haddawy & Saeed-UL Hassan, 2017. "Explaining the transatlantic gap in research excellence," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 217-241, January.
    4. Saeed-Ul Hassan & Naif R. Aljohani & Mudassir Shabbir & Umair Ali & Sehrish Iqbal & Raheem Sarwar & Eugenio Martínez-Cámara & Sebastián Ventura & Francisco Herrera, 2020. "Tweet Coupling: a social media methodology for clustering scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 973-991, August.
    5. Bonaccorsi, Andrea & Haddawy, Peter & Cicero, Tindaro & Hassan, Saeed-Ul, 2017. "The solitude of stars. An analysis of the distributed excellence model of European universities," Journal of Informetrics, Elsevier, vol. 11(2), pages 435-454.
    6. Saeed-Ul Hassan & Peter Haddawy, 2015. "Analyzing knowledge flows of scientific literature through semantic links: a case study in the field of energy," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 33-46, April.
    7. David Gunnarsson Lorentzen, 2014. "Webometrics benefitting from web mining? An investigation of methods and applications of two research fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(2), pages 409-445, May.
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    Cited by:

    1. Johnson, Nathan & Turnbull, Benjamin & Reisslein, Martin, 2022. "Social media influence, trust, and conflict: An interview based study of leadership perceptions," Technology in Society, Elsevier, vol. 68(C).
    2. Muhammad Fakruhayat Ab Rashid & Sharifah Rohayah Sheikh Dawood, 2024. "Statistical Evaluation of Webometric Analysis of Tourism Websites in ASEAN Countries," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(2), pages 2389-2406, February.
    3. Yaxue Ma & Zhichao Ba & Yuxiang Zhao & Jin Mao & Gang Li, 2021. "Understanding and predicting the dissemination of scientific papers on social media: a two-step simultaneous equation modeling–artificial neural network approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 7051-7085, August.

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