Browse > Article
http://dx.doi.org/10.17661/jkiiect.2018.11.5.550

A Study on Analysis of the Trend of Blockchain by Key Words Network Analysis  

Cho, Seong-Hwan (Department of IT Software, Division of Global Convergence, Geumgang University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.11, no.5, 2018 , pp. 550-555 More about this Journal
Abstract
This study aims to identify and compare contents and keywords used in articles related to blockchain applications to various industries. The text mining and Semantic Network Analysis, as methods of keyword network analysis, were used to analyze articles including terms of 'finance' 'energy' and 'logistics', which media and government frequently mentioned as areas that can apply blockchain technologies. For this study, data were collected from 43,093 articles from January, 2017 through July, 2018. Data crawling was carried out by using Python BeautifulSoup and data cleaning was performed in order to eliminate mutual redundancies of the three terms. After that, text mining and semantic network analysis were performed using Textom and UCInet for network analysis between keywords. The results showed that all the three terms were similar in terms of 'technology', but there were differences in the contents of 'government policy' or 'industry' issues. In addition, there were differences in frequencies and centralities of these terms.
Keywords
Blockchain; Finance; Logistics; Energy; Semantic Network Analysis;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Y. H. Cho, H. S. Son, "Heuristic Analysis on Virtual Money, Crypto currency, Virtual Currency by Using Text Mining through Naver News Articles", Textom, 2018.
2 Ryan Mitchelle, Web Scraping with Python 2nd ed., pp.6-32, O'Reilly Media Inc. 2018.
3 Won-ha Lee, Big data Collecting, Analysis and Visualization with Python, BPAN Books, 2017.
4 Hyun-jung Kim, Nam-ok Jo, Kyung-shik Shin, "Text Mining-Based Emerging Trend Analys is for the Aviation Industry", Journal of Intelligence Information System, v.21, no.1, pp.65-82, 2015.   DOI
5 Keun-ha Chung, "A Study of foresight method based on textmining and complexity network analysis", Korea Institute of Science and Technology Evaluation and Planning, 2010.
6 Wang, W. & Rada, R, "Structured hypertext with domain semantics", ACM. Trans. Inform. Syst., 16, pp.372-412, 1998.   DOI
7 Yong-hak Kim, Social Network Anaysis, 3rd ed., pp.70-85, Pakyongsa Press, 2016.
8 Eun-Bi Song, "Analysis of news on bitcoin using textmining", Master's Thesis, Graduate School of Ewha Womans Univ., 2018
9 Ju-Seop Park, Na-Rang Kim, Eun-Jung Han, "Analysis of Trends in Science and Technology using Keyword Network Analysis", Journal of the Korea Industrial Information Systems Research, v.23, no.2, pp.63-73, 2018.   DOI
10 Ministry of Science and ICT Press, "Blockchain Technology Development Strategies For Implementing Reliable Fourth Industrial Revolution", Ministry of Science and ICT, 2018.
11 Hyun-Ju Jo, "Comparative Analysis of Topics of Research on Artificial Intelligence using the Topic Modeling", Master's Thesis, Graduate School of Yonsei Univ., 2018.