The objective of this analysis is to answer RQ1. To answer the first part of the rationale of this question, we analyze the results of the inclusion and selection stages. In Figure 4, we summarize the results of the inclusion stage and highlight some findings:
• The average annual growth rate of published articles follows Equation (1) 𝑦 30.309𝑥 29.2 (1)
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• Prior to 2010, no relevant studies about Big Data modeling are published • Since 2015, the number of studies has increased significantly and, in 2018, there were 318
published articles. In 2019, there were already 106 publications before August • Scopus ranked the highest of all considered sources, with 760 collected works, followed by WoS
with 321 works, IEEE Xplore with 200 and ScienceDirect with 95
Prior to 2013, no relevant studies were found; 2. The year in which we found the most quantity of studies about Big Data modeling is 2018.
However, it is important to highlight that 2019 is ongoing and could ultimately have more studies than 2018;
3. With 27 papers, Scopus is the source holding the highest number of relevant studies, followed by WoS and IEEE Xplore with two papers each. ScienceDirect does not report any relevant paper about the topic.