Theme Mapping and Bibliometrics Analysis of One Decade of Big Data Research in the Scopus Database

Abstract

Recently, the popularity of big data as a research field has shown continuous and wide-scale growth. This study aims to capture the scientific structure and topic evolution of big data research using bibliometrics and text mining-based analysis methods. Bibliographic data of journal articles regarding big data published between 2009 to 2018 were collected from the Scopus database and analyzed. The results show a significant growth of publications since 2014. Furthermore, the findings of this study highlight the core journals, most cited articles, top productive authors, countries, and institutions. Secondly, a unique approach to identifying and analyzing major research themes in big data publications was proposed. Keywords were clustered, and each cluster was labeled as a theme. Moreover, the papers were divided into four sub-periods to observe the thematic evolution. The theme mapping reveals that research on big data is dominated by big data analytics, which covers methods, tools, supporting infrastructure, and applications. Other critical aspects of big data research are security and privacy. Social networks and the Internet of things are significant sources of big data, and the resources and services offered by cloud computing strongly support the management and processing of big data.

Information Security Monitoring and Management Method Based on Big Data in the Internet of Things Environment

“…In the aspect of information security strategy research under the background of big data, the necessity of building a national competitive intelligence system based on information security is discussed [25,26], and the construction measures of the national competitive intelligence system based on information security are proposed. Intelligence literacy should be regarded as the core element of information security theory, and the solution of information security theory under the background of big data is explored [27,28]. Due to the complexity of information security, it is impossible to completely solve the problem of information security, either theoretically or technically.…”

Towards a Concept for Building a Big Data Architecture with Microservices

“…During this time, the concept has undergone significant changes that dramatically changed the term from a hype topic [7] to the foundation of most of the data-driven and data-intensive projects known today [4]. Despite that long lasting maturation and a highly active research community [8], no distinct and universally applied definition was found that precisely describes the nature and elements of that term [1]. Notwithstanding that, according to one of the most widely used definitions, Big Data "consists of extensive data sets -primarily in the characteristics of volume, variety, velocity, and/or variability -that require a scalable architecture for efficient storage, manipulation, and analysis" [9].…”

Examining the Interplay Between Big Data and Microservices – A Bibliometric Review

“…Despite that long-lasting maturation and a highly active research community [23], no distinct and universally applied definition was found that precisely describes the nature and elements of that term [17]. Notwithstanding that, according to one of the most widely used definitions, big data "consists of extensive datasetsprimarily in the characteristics of volume, variety, velocity, and/or variabilitythat require a scalable architecture for efficient storage, manipulation, and analysis" [24].…”