Bibliometrics for Measuring Social Media Influence: Evaluating the use of h-Index as a ranking metric of Twitter users’ influence.-Reference-Cited by-同舟云学术

Bibliometrics for Measuring Social Media Influence: Evaluating the use of h-Index as a ranking metric of Twitter users’ influence.

Published:2021-11-26 Issue: Volume: Page:
ISSN:
Container-title:25th Pan-Hellenic Conference on Informatics
language:
Short-container-title:

Author:

Maniatis Nikolaos¹,Alexandridis Georgios²,Korovesis Konstantinos³,Varlamis Iraklis⁴,Tsantilas Panagiotis³,Klimis George Michael¹,Caridakis George²

Affiliation:

1. Panteion University, Greece

2. Department of Cultural Technology and Communication, University of the Aegean, Greece

3. Palo Services Ltd., Greece

4. Department of Informatics and Telematics, Harokopio University of Athens, Greece and University of the Peloponnese, Greece

Funder

Operatinnal Program Competitiveness, Enterpreneuship and Innovation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503823.3503859

Reference15 articles.

1. Measuring social media influencer index- insights from facebook, Twitter and Instagram

2. The h -index Debate: An Introduction for Librarians

3. Nicolás Ignacio Bersano-Méndez Satu Elisa Schaeffer and Javier Bustos-Jiménez. 2012. Metrics and Models for Social Networks. Nicolás Ignacio Bersano-Méndez Satu Elisa Schaeffer and Javier Bustos-Jiménez. 2012. Metrics and Models for Social Networks.

4. 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. 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.

5. 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. 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.