A scientometric study of Twitter

Ecem Basak*, Levent Atahan, Fethi Calisir

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Özet

The aim of this research is to perform a scientometric analysis and evaluate the publications related to Twitter. The data were collected from the database of Web of Science. "Twitter" was used as the keyword to conduct the search, and all publications were mapped by the following criteria: topic and title. Publications from 2007 to 2015 were taken into account in this study, and a total of 7626 Twitter-related publications were found. The annual number of publications was increased from 5 in 2007 to 1638 in 2014. There were seven main document types in Twitter-related publications, and articles were mostly used among all document types. The United States was found to be the most productive country having publications and English was the most frequently used language among all publications. Moreover, Lecturer Notes in Computer Science was the main distribution channel and computer science, engineering, and communication were the top three most popular research areas.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)179-184
Sayfa sayısı6
DergiProceedings of the International Conference on Industrial Engineering and Operations Management
Hacim2018
Basın numarasıSEP
Yayın durumuYayınlandı - 2018
Etkinlik3rd North American IEOM Conference. IEOM 2018 -
Süre: 27 Eyl 201829 Eyl 2018

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Publisher Copyright:
© IEOM Society International.

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