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Research universities on the ResearchGate social networking site: An examination of institutional differences, research activity level, and social networks formed

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  • Yan, Weiwei
  • Zhang, Yin

Abstract

As one of the largest active academic social networking sites, ResearchGate (RG) has been utilized by scholars to share publications, seek collaborators, communicate work in progress, and build scholarly reputation. This study collects data from RG users from 61 U.S. research universities at different research activity levels, as categorized by the Carnegie Classification of Institutions of Higher Education, to examine the impact of institutional differences on RG reputational metrics. The results confirm that RG is a research-oriented academic social networking site that closely and realistically mirrors the research activity level of institutions. With an increase in the research activity level of a university, its affiliated RG users tend to have higher RG scores, more publications and citations, and more profile views and followers, while the average number of reads of their publications and followees tend to be lower and fluctuant. In addition, RG users primarily follow others from institutions of a higher research activity level, forming virtual social networks centered around esteemed institutions. The study suggests academic social networks can serve as indicators in evaluation of research activities among research institutions, and such sites can be helpful and credible for acquiring resources, keeping informed about research, and promoting academic influence.

Suggested Citation

  • Yan, Weiwei & Zhang, Yin, 2018. "Research universities on the ResearchGate social networking site: An examination of institutional differences, research activity level, and social networks formed," Journal of Informetrics, Elsevier, vol. 12(1), pages 385-400.
  • Handle: RePEc:eee:infome:v:12:y:2018:i:1:p:385-400
    DOI: 10.1016/j.joi.2017.08.002
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    2. Maksym Sitnicki, 2018. "Development Of A Model Of Digital Research Universities," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", vol. 4(1).
    3. Anwar Said & Timothy D. Bowman & Rabeeh Ayaz Abbasi & Naif Radi Aljohani & Saeed-Ul Hassan & Raheel Nawaz, 2019. "Mining network-level properties of Twitter altmetrics data," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 217-235, July.
    4. Shannon Mason & Yusuke Sakurai, 2021. "A ResearchGate-way to an international academic community?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1149-1171, February.
    5. Xiaolan Wu & Chengzhi Zhang, 2019. "Finding high-impact interdisciplinary users based on friend discipline distribution in academic social networking sites," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 1017-1035, May.
    6. Vivek Kumar Singh & Satya Swarup Srichandan & Hiran H. Lathabai, 2022. "ResearchGate and Google Scholar: how much do they differ in publications, citations and different metrics and why?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1515-1542, March.
    7. Matthew Harsh & Ravtosh Bal & Alex Weryha & Justin Whatley & Charles C. Onu & Lisa M. Negro, 2021. "Mapping computer science research in Africa: using academic networking sites for assessing research activity," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 305-334, January.
    8. Weiwei Yan & Qian Liu & Ruoyu Chen & Shengwei Yi, 2020. "Social networks formed by follower–followee relationships on academic social networking sites: an examination of corporation users," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2083-2101, September.
    9. Weiwei Yan & Xin Wen & Yin Zhang & Sonali Kudva & Qian Liu, 2023. "The dynamics of Q&A in academic social networking sites: insights from participants, interaction network, response time, and discipline differences," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1895-1922, March.
    10. Łukasz Wiechetek & Zbigniew Pastuszak, 2022. "Academic social networks metrics: an effective indicator for university performance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1381-1401, March.
    11. Vincenzo Corvello & Maria Cristina Chimenti & Carlo Giglio & Saverino Verteramo, 2020. "An Investigation on the Use by Academic Researchers of Knowledge from Scientific Social Networking Sites," Sustainability, MDPI, vol. 12(22), pages 1-16, November.
    12. Sergio Copiello, 2019. "Research Interest: another undisclosed (and redundant) algorithm by ResearchGate," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 351-360, July.

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