정보화정책 (Informatization Policy)

한국지능정보사회진흥원 (National Information Society Agency)
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국내 전자정부 연구동향에 대한 정량적 분석: 텍스트 마이닝과 네트워크 분석 기법을 중심으로

Quantitative Analysis of Research Trends in Korean E-Government Using Text Mining and Network Analysis Methods

  • 이수인 (한국정보화진흥원 전자정부성과제도팀) ;
  • 신신애 (한국정보화진흥원 전자정부성과제도팀) ;
  • 강동석 (한국정보화진흥원 전자정부본부) ;
  • 김상현 (경북대학교 경영학부)
  • 투고 : 2017.08.27
  • 심사 : 2018.10.24
  • 발행 : 2018.12.31
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초록

기존에 수행된 국내 전자정부 동향연구는 정성적 연구방법에만 의존하는 약점을 지니고 있다. 이에 본 연구는 2018년 9월 현재 시점에서 1996~2017년까지의 데이터를 기반으로 정량적 분석을 수행하였다. 텍스트 마이닝을 통해 도출된 연구주제는 총 7가지였으며, 그중에서도 프레임워크와 공공정책 효과의 네트워크 중심성이 높은 것으로 식별되었다. 본 연구결과는 전자정부의 발전을 위해 필요한 학술적/정책적 시사점을 제공하였다. 시사점 중의 하나는 기존 연구가 주로 수행하던 방식인 정성적 분석방법 대신에 정량적 분석방법을 활용하여, 상대적으로 객관성 및 학문의 다양성 확보에 이바지한다는 점이다.

The existing research on domestic e-government trends in Korea has weaknesses in that it depends only on qualitative research methods. Therefore, a quantitative analysis was conducted through this study as of September 2018 based on the data from 1996 to 2017. A total of seven research topics were derived from text mining, of which the network centrality of the framework and public policy effect were identified as highly significant. The results of this study provide academic and policy implications for the development of e-government. including that using a quantitative analysis method instead of a qualitative method contributes to ensuring relative objectivity and diversity of learning.

키워드

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<그림 1> 연구 분석절차 Research and analysis procedure

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<그림 2> LDA의 그래프 모델 Graph model of LDA

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<그림 3> 주제1~7의 토픽 분석결과 Topic modeling result for topic 1~7

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<그림 4> 1996~2017년 기간의 주제별 점유율 Proportion trends analysis (1996-2017s)

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<그림 5> 연구주제별 근접 중심성 수치 Closeness centrality by topics

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<그림 6> 전자정부 연구 분야의 주제 간 네트워크 분석 Network analysis between topics in e-government research field

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<그림 7> 연구주제별 키워드 간 네트워크 분석 Network analysis between topics with the top 10 words

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<그림 8> 연구주제별 3개 키워드 간 네트워크 분석 Network analysis between topics with the top 3 words

<표 1> 정보계층에 따른 대응과제와 관련 정책의 종류

Types of policy and related tasks according to information layer

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<표 2> Lee, et al.(2010)의 연구주제별 논문 분포

Distribution of study by research theme by Lee, et al.(2010)

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<표 3> Lee & Myeong(2013)의 연구주제별 논문 분포

Distribution of study by research theme by Lee & Myeong(2013)

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<표 4> 국내 선행연구 등이 제시한 6가지 연구주제

6 Themes presented by domestic researchers

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<표 5> 국외 선행연구에서 제시한 11가지 연구주제

11 Themes rresented in overseas previous research

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<표 6> 토픽 분석을 활용한 선행연구

Precedent study using by topic analysis

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<표 7> 연도별 논문 분포

Distribution of papers by year

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<표 8> 논문게재 건수 기준 상위 10개 발행기관 목록

List of top 10 issuers by number of papers published

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<표 9> 주제1~7의 정의 및 주요 키워드

Definitions and main keywords for topic 1~7

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<표 10> 전자정부 분야의 기간별 주제 비중

Weight of topic by period on e-government

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