Trend Visualization of Academic Field: Proposed Method and Big Data Review

被引：0
作者：
Antonov E.V. [1 ,2 ]
Artamonov A.A. [1 ]
Rudik A.V. [1 ]
Malugin M.I. [1 ]
机构：
[1] National Research Nuclear University MEPhI, (Moscow Engineering Physics Institute), Moscow
[2] Plekhanov Russian University of Economics, Moscow
来源：
Scientific Visualization | 2022年 / 14卷 / 02期
关键词：
big data; data collection; data mining; trend analysis; visualization;
D O I：
10.26583/sv.14.2.06
中图分类号：
学科分类号：
摘要：
Research trends analysis is essential for scientists or governments to understand the present and predict the future of the field. Nowadays it is time-consuming to examine papers for following up on the latest trend in specific research interests. In our study, we present the distributed architecture of the system for automated data collection and analysis. Furthermore, we propose the data extraction workflow for collecting data from multiple sources. The interactive dashboard is implemented with a set of different visualizations for tracing research trends. As a practical implementation of the developed system, a research trend analysis of Big Data technologies is carried out. The set of 34062 articles was processed and collected on that topic from 25 selected internet sources. Finally, a review of Big Data technologies is presented using the developed dashboard, and cases of its use are considered. An analysis of the topic on a specific period, country, and the field is shown and discussed. In addition, the authors try to give a perspective of the future development of Big Data field and its association with related fields. © 2022 National Research Nuclear University. All rights reserved.
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收藏
页码：62 / 76
页数：14
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