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Sort articles by: Volume | Date | Most Rates | Most Views | Reviews | Alphabet
1.

Knowledge management and social media: A scientometrics survey Pages 359-378 Right click to download the paper Download PDF

Authors: Ebrahim Zarei, Armin Jabbarzadeh

DOI: 10.5267/j.ijdns.2019.2.008

Keywords: Social media, Knowledge sharing, Knowledge management, Scientometrics, Bibliometric, Bibliometrix R-package

Abstract:
The purpose of this research is to study the role of the social media for knowledge sharing. The study presents a comprehensive review of the researches associated with the effect of knowledge management in social media. The study uses Scopus database as a primary search engine and covers 1858 of highly cited articles over the period 1994-2019. The records are statistically analyzed and categorized in terms of various criteria using an open source software package named R. The findings show that researches have grown exponentially during the recent years and the trend has continued at relatively stable rates. Based on the survey, knowledge management is the keyword which has carried the highest citations followed by social media and social networking. Among the most cited articles, papers published by researchers in United States have received the highest citations, followed by United Kingdom and China.
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Journal: IJDS | Year: 2019 | Volume: 3 | Issue: 4 | Views: 2998 | Reviews: 0

 
2.

Big data and social media: A scientometrics analysis Pages 145-164 Right click to download the paper Download PDF

Authors: Hossein Jelvehgaran Esfahani, Keyvan Tavasoli, Armin Jabbarzadeh

DOI: 10.5267/j.ijdns.2019.2.007

Keywords: Social media, Social networking, Big data, Big data analytics, Scientometrics, Bibliometric, Bibliometrix R-package

Abstract:
The purpose of this research is to investigate the status and the evolution of the scientific studies for the effect of social networks on big data and usage of big data for modeling the social net-works users’ behavior. This paper presents a comprehensive review of the studies associated with big data in social media. The study uses Scopus database as a primary search engine and covers 2000 of highly cited articles over the period 2012-2019. The records are statistically analyzed and categorized in terms of different criteria. The findings show that researches have grown exponentially since 2014 and the trend has continued at relatively stable rates. Based on the survey, decision support systems is the keyword which has carried the highest densities followed by heuristics methods. Among the most cited articles, papers published by researchers in United States have received the highest citations (7548), followed by United Kingdom (588) and China with 543 citations. Thematic analysis shows that the subject nearly maintained an important and well-developed research field and for better results we can merge our research with “big data analytics” and “twitter” that are important topics in this field but not developed well.
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Journal: IJDS | Year: 2019 | Volume: 3 | Issue: 3 | Views: 7732 | Reviews: 0

 

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