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http://dx.doi.org/10.17662/ksdim.2022.18.3.083

Technology Convergence Analysis Using Social Network k-Core: Focusing on Company Technologies of Defense Industry  

Park, Dong-Soo (국방기술진흥연구소)
Yoon, Han-Seong (경상대학교 경영대학)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.18, no.3, 2022 , pp. 83-95 More about this Journal
Abstract
A technology can be newly formed through technological convergence achieved by the intersection of two or more technological fields. As the complexity of technology development increases, related interest is increasing. Researches have been carried out on the concept, related indicators and analysis of technology convergence including method of social networks. This paper intends to suggest an analysis method of technology convergence using social networks based on the company's possessing technologies. According to the similarity of technologies among companies, a social network was constructed and the technology convergence was analyzed using k-core, a social network subgroup method. Using the result of k-core, base and element technologies for convergence was identified with their relations. Using the suggested method, technology convergence was analyzed on real technology data of defense-industry companies. When the minimum technology similarity is 0, the overall technology convergence relations between technology elements can be identified. In the scope of data in this paper, technologies of defense S/W, aircraft structure and structural materials are identified as important base technology for convergence.
Keywords
Technology Convergence; Similarity; Social Network; k-Core; Defense Industry;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 Chang, Victor, "A Proposed Social Network Analysis Platform for Big Data Analytics," Technological Forecasting & Social Change, Vol. 130, 2018, pp.57-68.   DOI
2 국방기술진흥연구소, "국방 강소벤처 Tech-Fi Net," http://dtims.krit.re.kr/vps/TFN_main.do, 2022
3 Cho, Y.R. and Kim, E.S., "A Corporate Strategy on Technological Convergence through Analyzing Patent Networks and Strategic Indicators, The Journal of Intellectual Property," Vol. 9, No. 4, 2014, pp.191-221.   DOI
4 Curran, C.S. and Leker, J., "Patent indicators for monitoring convergence - examples from NFF and ICT," Technological Forecasting and Social Change, Vol. 78, Issue 2, 2011, pp.256-273.   DOI
5 Lim, H. and Park, Y., "Identification of Technological Knowledge Intermediaries," Scientometrics, Vol. 84, No. 3, 2010, pp.543-561.   DOI
6 Hargadon, A. and Sutton, R.I., "Technology Brokering and Innovation in a Product Development Firm," Administrative Science Quarterly, Vol. 42, No. 4, 1997, pp.716-749.   DOI
7 현창희, "융합환경하의 중소기업 육성방향," 한국통신학회지, 제25권, 제11호, 2008, pp.48-52.
8 Lee, J. and Lim, I., "A Comparative Study on Convergence of IT, BT and NT: Focusing on Patent Data," Journal of Asian Finance, Economics and Business, Vol. 7, No. 1, 2020, pp.239-247.   DOI
9 문화체육관광부, "기술분류체계 모음," http://www.korea.kr/archive/expDocView.do?docId=10954, 2021.
10 허아라.류연승, "국방과학기술 정보의 분류체계 고찰," 한국정보보호학회지, 제28권, 제6호, 2018, pp.25-32.
11 조윤호.방정혜, "신상품추천을 위한 사회연결망분석의 활용," 지능정보연구, 제15권, 제4호, 2009, pp.183-200.
12 윤한성, "사회연결망 서브그룹을 통한 소매점 상품배치 및 동선 평가: 장바구니 데이터 분석을 중심으로," 디지털산업정보학회 논문지, 제17권, 제4호, 2021, pp.109-120.
13 곽기영, 소셜네트워크분석, 청람, 2014.
14 He, X. et al., "Analyzing The Structure of Earthquake Network by k-Core Decomposition," Physica A, Vol. 421, 2015, pp.34-43.   DOI
15 Barnes, J., "Class and Committees in a Norwegian Island Parish," Human Relations, Vol. 7, 1954, pp.39-58.   DOI
16 Zhu, C. and Motohashi, K., "Identifying The Technology Convergence Using Patent Text Information: A Graph Convolutional Networks Based Approach," Technological Forecasting & Social Change, Vol. 176, 2022, 121477.   DOI
17 이광민.홍재범, "기술융합 구조 분석을 위한 사례 연구: 2-mode 네트워크분석 활용," 기술혁신연구, 제24권, 제2호, 2016, pp.1-20.   DOI
18 Kleinberg, Jon, "The Convergence of Social And Technological Networks," Communications of the ACM, Vol. 51. Issue 11, 2008, pp.66-72.   DOI
19 Geum, Y., Kim, C., Lee, S. and Kim, M. S., "Technological convergence of IT and BT: Evidence from patent analysis," ETRI Journal, Vol. 34, No. 3, 2012, pp.439-449.   DOI
20 Huang, H. et al., "Unsupervised Analysis of Top-k Core Members in Poly-Relational Networks," Expert Systems with Applications, Vol. 41, 2014, pp.5689-5701.   DOI
21 안재형.김규웅.노희용.이성주, "산업 내 경쟁자와 신규진입자의 등록특허 분석을 통한 ICT 산업 융합기술 도출," 대한산업공학회지, 제42권, 제3호, 2016, pp.209-221.   DOI
22 Toshihiro Kosea, Ichiro Sakata, "Identifying technology convergence in the field of robotics research," Technological Forecasting & Social Change, Vol. 146, 2019, pp.751-766.   DOI
23 이새롬.장정주, "사물인터넷의 확산: 정성적·정량적 기법을 이용한 기술 및 기업 전략 예측," 한국전자거래학회지, 제20권, 제4호, 2015, pp.19-39.   DOI
24 임동현.조영은.송영화, "Identifying Roles of Brokerage in Business Ecosystem to Profit from Convergence Technology," 한국기술혁신학회 2016 추계학술대회 논문집, 2016, pp.427-436.
25 Olawuyi, J.O. and Mgbole, F., "Technological Convergence," Science Journal of Physics, 2012, Vol. 2012, https://www.sjpub.org/sjp/abstract/sjp-221.html.
26 윤한성, "속성유사도에 따른 사회연결망 서브그룹의 군집유효성," 디지털산업정보학회 논문지, 제17권, 제1호, 2021, pp.75-84.
27 Alberto, M. et al., "Distributed k-Core Decomposition," IEEE Transactions on Parallel & Distributed Systems, Vol. 24, No. 2, 2013, pp.288-300.   DOI
28 이선재.이성주.설현주, "토픽모델링과 인용 분석에 기반한 의료기기 산업의 기술융합 유형 연구, 한국융합학회논문지, 제12권 제7호, 2021, pp.207-220.   DOI
29 Smani, G.I. and Megalooikonomou, V., "Maximization Influence in Dynamic Social Networks And Graphs," Array, Vol. 15, 2022, 100226.   DOI
30 황다영.김영인.이병민, "기술융합 특성에 따른 새로운 분류체계의 제안," 기술혁신학회지, 제11권, 제4호, 2008, pp.592-612.
31 박재우.이일로.권재욱.변기식.조성용, "사회연결망분석을 이용한 국방강소벤처 Tech-Fi Net 기술동향분석," 한국산학기술학회논문지, 제20권, 제12호, 2019, pp.444-455.   DOI