디지털융복합연구 (Journal of Digital Convergence)

  • 제17권6호
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  • Pages.219-227
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  • 2019
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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블록체인 분야의 학술연구 동향분석: 계량정보학적 네트워크분석을 중심으로

Evaluating Blockchain Research Trend using Bibliometrics-based Network Analysis

  • 주우붕 (영남대학교 사이버감성연구소 블록체인정책연구센터/디지털융합비즈니스학과) ;
  • 박한우 (영남대학교 사이버감성연구소/언론정보학과.디지털융합비즈니스학과)
  • Zhu, Yu-Peng (Blockchain Policy Research Center, Cyber Emotions Research Institute/Interdisciplinary Program of Digital Convergence Business, Yeungnam University) ;
  • Park, Han-Woo (Cyber Emotions Research Institute / Dept of Media & Communication, Interdisciplinary Program of Digital Convergence Business, Yeungnam University)
  • 투고 : 2019.04.24
  • 심사 : 2019.06.20
  • 발행 : 2019.06.28
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⟨ 이전 논문 다음 논문 ⟩

초록

본 연구는 계량정보학 네트워크 분석을 중심으로 블록체인 분야의 한국 연구자의 학술연구 동향을 계량학적 시각으로 살펴보고자 하였다. 데이터는 2009년부터 2018년까지 KCI와 NTIS, WoS 및 Scopus에 등재된 블록체인 논문으로 선정하였다. 계량정보학 연구방법으로 논문 발행, 연구의 분야, 공저자, 단어분석을 수행했다. 분석결과, 2017년부터 논문 수가 급증하였으며 공저자 네트워크 형성의 초기단계를 보였다. 논문제목에 많이 사용된 단어는 응용발전과 쟁점 및 기술개발과 관련된 단어들이 주로 나타났다. 또한 국내논문연구 분야는 사회과학 주제가 가장 많은 반면에 국제논문연구는 공학 주제가 가장 많았다. 시기별 분석결과는 한국학자들의 블록체인 3.0 연구는 2017년 시작되었고 2018년 빠르게 늘고 있다. 논문 피인용 수는 발행연도와 관련이 있었지만, 공저자 수와는 무관하였다. 이러한 계량정보학적 동향을 살펴봄으로써 블록체인 분야의 발전에 유용한 기초자료가 될 수 있을 것으로 기대한다. 향후연구는 블록체인 분야의 세계범위 지적 구조와 특징이 더욱 명확하게 드러날 것으로 기대한다.

This study aims to examine Blockchain research trend using bibliometrics-based network analysis. The data were collected from WoS, Scopus, Korea Citation Index and National science & Technology Information Service, from 2009 to 2018. As results, the number of publications has started increasing rapidly from 2017 and it showed the initial stage of formation of coauthor network. Words often used in the title of the publications were related to application development, controversy and technology development. In addition, the majority of domestic papers are in the subject of social science, while international papers tend to focus on engineering issues. The results of the temporal analysis show that Korean researchers' block chain 3.0 started in 2017 and are rapidly increasing in 2018. The number of citations was associated with publication year in a statistically signifiant way. By examining these research trends, we hope that this paper can be a useful basis for the development of blockchain. Future research is expected to reveal more clearly the knowledge structure and characteristics of blockchain around the world.

키워드

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Fig. 1. Data collection method of WoS and Scopus

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Fig. 2. Annual trends of both Korean and English publications on blockchain

DJTJBT_2019_v17n6_219_f0003.png 이미지

Fig. 3. Co-authorship networks in both Korean and English publications in terms of individual researchers

DJTJBT_2019_v17n6_219_f0004.png 이미지

Fig. 4. Co-authorship networks in both Korean and English publications in terms of individual institutions

DJTJBT_2019_v17n6_219_f0005.png 이미지

Fig. 5. Clusters using Concor analysis

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Fig. 6. Change in research subject across periods

Table 1. Centrality definition

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Table 2. Network statistics

DJTJBT_2019_v17n6_219_t0002.png 이미지

Table 3. Frequency and centrality of words in Korean publications

DJTJBT_2019_v17n6_219_t0003.png 이미지

Table 4. Frequency and centrality of words in English publications

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Table 5. Correlations of words centrality in Korean publications

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Table 7. Regression model explaining the number of citations

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Table 6. Correlations of words centrality in English publications

DJTJBT_2019_v17n6_219_t0007.png 이미지

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