• Journal of the Korean Society for Library and Information Science
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• v.28
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• pp.109-133
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• 1995

This study assessed citation analysis results in light of their usefulness for national scientific and technical information (STI) policy formulation and review in Korea. using electrical and electronics engineering field as a case. After brief summary of citation analysis results was presented. current Korean STI policy was reviewed. which aims at establishing national STI sharing system by constructing many STI databases and information networks. Citation analysis results were discussed in light of their significance for Korean databases and information network construction and for use of informal networks such as E-Mail and invisible colleges. The problem of access to current information was also reviewed. Some recommendations were made to policy makers. which include creation of a centralized national STI center: development of guidelines for effective utilization of STI networks and STI; and. standardization of information processing technology and support for the automation of information centers and libraries. Based on the literature review. the best possible way of presenting recommendations to policy makers was examined. It was concluded that citation analysis could be a useful methodology for STI policy formulation and review when reliability and validity of the study is assured and the samples well represent the population of scientists and engineers. Finally recommendations for further research were offered.

• Annual Conference on Human and Language Technology
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• 2007.10a
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• pp.194-201
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• 2007

인용 매칭(Citation Matching, CM)은 동일한 논문을 지칭하는 인용레코드(Citation Record)를 군집화하는 것으로 인용 관계를 가진 사회연계망 구축시 필요한 기술의 하나이다. 인용 매칭의 전단계로써, 인용 레코드를 저자, 논문 제목, 게재지명, 발행연도 등의 필드로 구분하는 인용 필드 분해가 고려될 수 있다. 본 논문은 인용 필드 분해(Citation Field Segmentation, CFS)와 인용 매칭의 상관관계를 분석하고자 한다. 즉, 인용 필드 분해가 인용 매칭에 필수적인 단계인지를 밝히고 개별 인용 필드가 인용 매칭에 미치는 영향을 분석한다. 실험을 통해 인용 필드 분해를 한 인용 매칭(CFS-based CM)이 인용 필드 분해를 적용하지 않은 인용 매칭(CFS-free CM)에 비해 1% 내외의 성능의 차이를 보이므로, 인용매칭의 성능에 크게 영향을 미친다고 보기 어려웠다. 이는 인용 레코드의 서로 다른 필드들 사이에서 어휘 중복 비율이 크게 낮기 때문에 따로 필드를 구별하지 않아도 필드가 구별되는 특성때문이었다.

• Journal of Korean Library and Information Science Society
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• v.53 no.1
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• pp.191-210
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• 2022

Niklas Luhmann is a sociologist who has had a strong influence on other disciplines. Therefore, it is necessary to examine what Luhmann's theory has influenced on his subsequent researchers. This study analyzed the knowledge network of studies on Niklas Luhmann's theory by follow-up researchers. Bibliographic coupling and co-citation were used as the analysis method of knowledge network. The main results are as follows. First, the language clusters were divided into Latin American / Spanish-speaking regions, Western Europe / Anglo-American regions, Eastern / Northern Europe and other language regions through bibliographic coupling analysis. Second, from the node analysis of bibliographic coupling, It was divided into 2 main cases: where Luhmann's major works were cited; where Luhmann's minor works were cited. Third, it was found that there are the core work groups that are repeatedly cited among Luhmann's works. Fourth, 12 core works were derived from the node analysis of the co-citation network, and appeared in four groups according to themes.

• Journal of the Korean Society for information Management
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• v.38 no.1
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• pp.53-69
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• 2021

This study aims to understand the research landscape of South Korea using the data of 2020 Google Scholar Metrics. To achieve the goal, we constructed and analyzed four types of networks including the university collaboration network, the keyword co-occurrence network, the journal citation network, and the discipline citation network. Through the analysis of the university collaboration network, we found major universities such as Seoul National University, Keimyung University, and Sungkyunkwan University that have led collaborative research. Job related keywords such as job change intention and job satisfaction have been frequently studied with other keywords. Through the analysis of the journal citation network, we found multiple journals such as The Journal of the Korea Contents Association, Korean Journal of Sociology, and Korean Journal of Culture and Social Issues that have been widely cited by the other journals and influenced them. Finally, Education, Business administration, and Social welfare were identified as the top influential disciplines that have influenced other disciplines through the knowledge diffusion. The study is the first of its kind to use the data of Google Scholar Metrics and conduct a stepwise network analysis (e.g., keyword, journal, and discipline) to broadly understand the research landscape of South Korea. Our results can be used by government agencies and universities to develop effective strategies of promoting university collaboration and interdisciplinary research.

• International Journal of Computer Science & Network Security
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• v.21 no.3
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• pp.94-102
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• 2021

The study aimed to define all the main determinants of writing a research paper in an integrated manner within the requirements of the science network journals, by introducing scientific research and the steps of writing a research paper, starting from choosing the title to writing the abstract, identifying the research problem, questions, importance and objectives of the study, how to choose previous studies, research methodology and tools, discussion and results In addition to determining the acceptable percentage of plagiarism for science network journals, recommendations, choosing appropriate references and choosing the appropriate references, in addition to determining the acceptable percentage of plagiarism for the journals of the Network of Science, the researcher used the method of analytical investigative research to find out the axes of the study and analyze different reference citation methods to deal with different sources of information (articles-books-theses-conference works-reviews), In addition to studying the most important international programs for measuring plagiarism ratios that are accredited within the journals of the Science Network, and the study concluded that the researcher must present original and innovative results, add an integrated and logical work, take into account all the scientific conditions in the design of the research, its steps and ethics, and take into account the international standards in citing Reference, taking into account the rates of plagiarism within Web of Science journals.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.5227-5237
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• 2011

Technology roadmap is a powerful tool that considers relationships of technology, product and market and referred as a supporting technology strategy and planning. There are numerous studies that have attempted to develop technology roadmap and case studies on specific technology areas. However, a number of studies have been dependant on brainstorming and discussion of expert group, delphi technique as qualitative analysis rather than systemic and quantitative analysis. To overcome the limitation, patent analysis considered as quite quantitative analysis is employed in this paper. Therefore, this paper proposes new technology roadmapping based on patent citation network considering technology life cycle and suggests planning for undeveloped technology but considered as promising. At first, patent data and citation information are collected and patent citation network is developed on the basis of collected patent information. Secondly, we investigate a stage of technology in the life cycle by considering patent application year and the technology life cycle, and duration of technology development is estimated. In addition, subsequent technologies are grouped as nodes of a super-level technology to show the evolution of the technology for the period. Finally, a technology roadmap is drawn by linking these technology nodes in a technology layer and estimating the duration of development time. Based on technology roadmap, technology planning is conducted to identify undeveloped technology through text mining and this paper suggests characteristics of technology that needs to be developed in the future. In order to illustrate the process of the proposed approach, technology for hydrogen storage is selected in this paper.

• Agribusiness and Information Management
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• v.3 no.1
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• pp.23-37
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• 2011

The development of informatization impacts all sectors, including agriculture. Agricultural informatization builds the knowledge linkage structures of agricultural innovation systems globally. This study investigated the global knowledge linkage structures in agricultural innovation pertinent to information technology (IT) for agricultural research and development (R&D) investments and activities. We explored the longitudinal trend of systemness within the networked research relationships in the triple helix (TH) of the university, industry and government (UIG). We collected data from publications in the Science Citation Index (SCI), the Social Sciences Citation Index (SSCI), and the Arts and Humanities Citation Index (A&HCI) to analyze the TH network dynamics. We also performed a scientometrics analysis to quantitatively identify the knowledge and insights of global agricultural innovation structures. These results could be informative for individual countries. Our findings reveal that the global knowledge linkage structures in the agricultural sector that are pertinent to IT fluctuate widely and fail to increase the capacity of agricultural innovation research due to a neglect of the network effects of the TH dynamics of UIG.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.18-29
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• 2022

The purpose of this exploratory study is to examine the intellectual structure of data science. For this purpose, this research examined a total of 17,997 bibliographies on data science indexed in Web of Science(WoS) of Clarivate Analytics from 2012 to 2021. This research applied methods such as descriptive analysis, citation analysis, co-author network analysis, co-occurrence network analysis, bibliographic coupling analysis, and co-citation analysis. This research contributes to finding the research directions of future data science topics.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.301-308
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• 2016

Writing high-quality papers and publishing them at prestigious academic journals would be something that every scholar strives for. This study made a network with nine academic journals in South Korea in the field of public administration and public policy and analyzed the influence of academic journals through social network analysis. Using centrality measures, such as degree centrality, beta centrality, and eigenvector centrality, this study found that Korean Public Administration Review has the highest influence on the journal network, followed by Korean Public Studies Review. However, different choice of centrality measure led to different ranking of journals in terms of their influence.

• Asia pacific journal of information systems
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• v.31 no.3
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• pp.358-377
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• 2021

Knowledge drives business innovation. However, even if companies have the same knowledge element in the business ecosystem, innovation performance varies depending on the structural position of the technical knowledge network. This study investigated whether there is a difference in exploitative innovation according to the structural position of the AI technical knowledge network. We collected patents from the top 100 digital companies registered with the US Patent Office from 2015 to 2019 and classified the companies into knowledge producer-based brokers, knowledge absorber-based brokers, knowledge absorbers, and knowledge producers from the perspective of knowledge creation and flow. The analysis results are as follows. First, a few of the top 100 digital companies disseminate, absorb, and mediate knowledge, while the majority do not. Second, exploitative innovation is the largest, in the order of knowledge producer, knowledge absorber-based broker, knowledge absorber, and knowledge producer-based broker. Finally, patents for industrial intelligence occupy a large proportion, and knowledge producers are leading exploitative innovation. Therefore, latecomers need to expand their resources and capabilities by citing patents owned by leading companies and converge with existing industries into AI-based industries.