TAILIEUCHUNG - Big data and social media: A scientometrics analysis

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. | Big data and social media A scientometrics analysis International Journal of Data and Network Science 3 2019 145 164 Contents lists available at GrowingScience International Journal of Data and Network Science homepage ijds Big data and social media A scientometrics analysis Hossein Jelvehgaran Esfahania Keyvan Tavasolia and Armin Jabbarzadeha a Business School McMaster University Ontario Canada CHRONICLE ABSTRACT Article history The purpose of this research is to investigate the status and the evolution of the scientific studies Received October 29 2018 for the effect of social networks on big data and usage of big data for modeling the social networks Received in revised format Janu- users behavior. This paper presents a comprehensive review of the studies associated with big ary 21 2019 data in social media. The study uses Scopus database as a primary search engine and covers 2000 Accepted February 8 2019 Available online of highly cited articles over the period 2012-2019. The records are statistically analyzed and cat- February 9 2019 egorized in terms of different criteria. The findings show that researches have grown exponentially Keywords since 2014 and the trend has continued at relatively stable rates. Based on the survey decision Social media support systems is the key-word which has carried the highest densities followed by heuristics Social networking methods. Among the most cited articles papers published by re-searchers in United States have Big data received the highest citations 7548 followed by United Kingdom 588 and China with 543 ci- Big data analytics tations. Thematic analysis shows that the subject nearly maintained an important and well-devel- Scientometrics oped research field and for better results we can merge our research with big data analytics and Bibliometric twitter that are important topics in this field but not developed well. Bibliometrix R-package 2019 by the authors licensee Growing Science Canada. 1. .

• Kĩ thuật Viễn thông
• Big data analytics
• Bibliometrix R package
• Primary search engine
• Decision support system
• Well developed research field
• Framework for modelling mobile network quality
• Experience through big data analytics approach
• Big data analytics approach
• Predicting perceived QoE
• The mobile network operators effectively
• Industrial Revolution 4 0
• Risen of technology
• International Data Corporation
• Accountant Millennial Generation
• Data warehouse
• Efficient big data analytics
• Precomputing architecture
• Precomputed multidimensional cubes
• Relational databases
• Cloud Computing
• Event Stream Processing
• Internet of Things
• Message brokers
• Reverse supply chain competences
• Reverse supply chain levels
• Reverse supply chain management
• BDA venture reception
• Big data
• Predictive analytics
• Business knowledge devices
• Business insight calculations
• Predictive investigation
• Finance accounting and Auditing
• Accounting curriculum
• Data analytics
• Data asset valuation
• Integration of relational and NoSQL databases
• Relational and NoSQL databases
• Relational database
• Big Analytics
• Database integration
• Business intelligence
• Business analytics
• Analytical scenarios
• Future BI architectures
• Marketing research
• Lecture Marketing research
• Nghiên cứu thị trường
• Secondary data
• Primary data
• Management decision making
• The marketing research industry
• Research ethics
• Secondary data and big data analytics
• Qualitative research
• Traditional survey research
• Marketing research essentials