빅데이터 산업 인력양성 방안에 대한 연구 : 뉴스 네트워크 분석을 중심으로 = A Study on Human-Resource Fostering Methods in Big Data Industry: Focusing on News Network Analysis

다국어 초록 (Multilingual Abstract)

The Fourth Industrial Revolution has made data and knowledge more important than the major factors of production of the past, such as labor and capital. However, although the demand for data job manpower in all domestic industries is rapidly increasing, it is expected that the manpower supply will be insufficient. Therefore, this study intends to explore the phenomena of industry and manpower in the field of big data, which became the most basic in the intelligent information society, by collecting and analyzing media big data, and to suggest the directions for solving the industry's human resource paradox. As a research method, we used quantitative text network analysis and qualitative analysis from industry experts to interpret the results. A total of 36,693 news data mentioning 'big data' were extracted, and data preprocessing for the synonyms and negative words were performed. The constructed text network is non-directional and consists of 310,028 words (nodes) and 3,055,375 word combinations (edges). Among the 11 clusters, additional content analysis was conducted for the top 4 clusters that accounted for more than 10% of the network proportion. As a result of analyzing, it was revealed whether the government's efforts to revitalize big data analysis are continuing, and there is still a lack in data utilization and human resource training in other fields except finical industry. It is expected that job training for big data analysis centered on middle-aged people with domain knowledge in appropriate field will lead directly to fostering convergent talents and solving job problems.

참고문헌 (Reference)

1 박은준, "텍스트네트워크분석을 활용한 국내·외 호스피스 간호 연구 주제의 비교 분석" 한국간호과학회 47 (47): 600-612, 2017

2 우지영, "텍스트 마이닝을 이용한 웹 포럼 불량글 탐지 모델" 한국지식정보기술학회 7 (7): 159-166, 2012

3 권정흠, "스마트팩토리의 트렌드 및 인식 연구: 뉴스 네트워크 분석을 중심으로" 한국지식정보기술학회 14 (14): 605-614, 2019

4 김성우, "기업의 현용기록 축적과 이용 방안 연구: 빅데이터 플랫폼으로서의 기업기록관리" 한국기록관리학회 20 (20): 99-118, 2020

5 J. Scott, "Social network analysis" Sage 2000

6 U. Brandes, "On modularity clustering" 20 (20): 172-188, 2008

7 Joint government departments, "Mid-to long-term comprehensive measures for the intelligent information society (draft)"

8 M. A. Ramdhani, "Indonesian news classification using convolutional neural network" 19 (19): 1000-1009, 2020

9 J. E. Driskell, "Handbook of human factors and ergonomics methods" CRC Press 2004

10 Gartner, "Gartner top 10 strategic technology trends for 2019"

11 M. E. J. Newman, "Finding and evaluating community structure in networks" 69 (69): 2004

12 V. D. Blondel, "Fast unfolding of communities in large networks" 2008 : 2008

13 B. Ruhnau, "Eigenvector-centrality-a node-centrality?" 22 (22): 357-365, 2000

14 Korea Local Information Research &Development Istitute, "Current status of local government's big data analysis project" 2018

15 L. Hui, "Centrality analysis of online social network big data" 2018

16 Allied Market Research, "Bioinformatics Market by Technology and Services, Application, and Sector : Global Opportunity Analysis and Industry Forecast, 2018 – 2025" 2019

17 M. E. J. Newman, "Analysis of weighted networks" 70 (70): 2004

18 Ministry of Science and ICT, "2020Informatization Statistics" 2020