Nikolaos Maniatis
Georgios Alexandridis
ABSTRACT
Social media platforms have become a primary source of information and public influence. This dynamic has given rise to the interest of journalists, companies, scientists and organizations in identifying the most productive and influential agents of a network. Although popular indicators such as Reach, Engagement and Virality can be a good basis for evaluating the influence of social media users, they do not capture quality characteristics of the user, such as productivity and consistency. In an attempt to overcome this limitation, the current work proposes the use of the well-established, in the academic community, h-Index as a tool of comparatively measuring social media influence.
- Anuja Arora, Shivam Bansal, Chandrashekhar Kandpal, Reema Aswani, and Yogesh Dwivedi. 2019. Measuring social media influencer index- insights from facebook, Twitter and Instagram. Journal of Retailing and Consumer Services 49 (2019), 86–101. https://doi.org/10.1016/j.jretconser.2019.03.012Google Scholar
Cross Ref
- Cameron Barnes. 2017. The h-index Debate: An Introduction for Librarians. The Journal of Academic Librarianship 43, 6 (2017), 487–494. https://doi.org/10.1016/j.acalib.2017.08.013Google ScholarCross Ref
- Nicolás Ignacio Bersano-Méndez, Satu Elisa Schaeffer, and Javier Bustos-Jiménez. 2012. Metrics and Models for Social Networks.Google Scholar
- Dinh-Luyen Bui, Tri-Thanh Nguyen, and Quang-Thuy Ha. 2014. Measuring the Influence of Bloggers in Their Community Based on the H-index Family. In Advanced Computational Methods for Knowledge Engineering, Tien van Do, Hoai An Le Thi, and Ngoc Thanh Nguyen (Eds.). Springer International Publishing, Cham, 313–324.Google Scholar
- Meeyoung Cha, Hamed Haddadi, Fabrício Benevenuto, and Krishna P. Gummadi. 2010. Measuring user influence in Twitter: The million follower fallacy. In in ICWSM ’10: Proceedings of international AAAI Conference on Weblogs and Social.Google ScholarCross Ref
- Lukas P. Forbes. 2013. Does Social Media Influence Consumer Buying Behavior? An Investigation Of Recommendations And Purchases. Journal of Business & Economics Research 11 (2013), 107–112.Google Scholar
- Richard Hanna, Andrew Rohm, and Victoria L. Crittenden. 2011. We’re all connected: The power of the social media ecosystem. Business Horizons 54, 3 (2011), 265–273. https://doi.org/10.1016/j.bushor.2011.01.007 SPECIAL ISSUE: SOCIAL MEDIA.Google ScholarCross Ref
- J. E. Hirsch. 2005. An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences 102, 46(2005), 16569–16572. https://doi.org/10.1073/pnas.0507655102 arXiv:https://www.pnas.org/content/102/46/16569.full.pdfGoogle ScholarCross Ref
- Robert Hovden. 2013. Bibliometrics for Internet media: Applying the h-index to YouTube. Journal of the American Society for Information Science and Technology 64, 11 (2013), 2326–2331. https://doi.org/10.1002/asi.22936 arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1002/asi.22936Google ScholarCross Ref
- Umar Ishfaq, Hikmat Ullah Khan, Shahid Iqbal, and Mohammed Alghobiri. 2021. Finding influential users in microblogs: state-of-the-art methods and open research challenges. Behaviour & Information Technology 0, 0 (2021), 1–44. https://doi.org/10.1080/0144929X.2021.1915384 arXiv:https://doi.org/10.1080/0144929X.2021.1915384Google ScholarCross Ref
- Amir Sheikhahmadi, Mohammad Ali Nematbakhsh, and Ahmad Zareie. 2017. Identification of influential users by neighbors in online social networks. Physica A: Statistical Mechanics and its Applications 486 (2017), 517–534. https://doi.org/10.1016/j.physa.2017.05.098Google Scholar
- Stefan Stieglitz and Linh Dang-Xuan. 2013. Social media and political communication: a social media analytics framework. Social Network Analysis and Mining 3, 4 (01 Dec 2013), 1277–1291. https://doi.org/10.1007/s13278-012-0079-3Google Scholar
- Beiming Sun and Vincent TY Ng. 2013. Identifying Influential Users by Their Postings in Social Networks. In Ubiquitous Social Media Analysis, Martin Atzmueller, Alvin Chin, Denis Helic, and Andreas Hotho (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 128–151.Google Scholar
- Michael Trusov, Anand V. Bodapati, and Randolph E. Bucklin. 2010. Determining Influential Users in Internet Social Networks. Journal of Marketing Research 47, 4 (2010), 643–658. https://doi.org/10.1509/jmkr.47.4.643 arXiv:https://doi.org/10.1509/jmkr.47.4.643Google ScholarCross Ref
- Brian E. Weeks, Alberto Ardèvol-Abreu, and Homero Gil de Zúñiga. 2015. Online Influence? Social Media Use, Opinion Leadership, and Political Persuasion. International Journal of Public Opinion Research 29, 2 (12 2015), 214–239. https://doi.org/10.1093/ijpor/edv050 arXiv:https://academic.oup.com/ijpor/article-pdf/29/2/214/17694136/edv050.pdfGoogle Scholar
Index Terms
- Bibliometrics for Measuring Social Media Influence: Evaluating the use of h-Index as a ranking metric of Twitter users’ influence.
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