• Title/Summary/Keyword: Intellectual Structure Analysis

Search Result 165, Processing Time 0.028 seconds

An Investigation on Characteristics and Intellectual Structure of Sociology by Analyzing Cited Data (사회학 분야의 연구데이터 특성과 지적구조 규명에 관한 연구)

  • Choi, Hyung Wook;Chung, EunKyung
    • Journal of the Korean Society for information Management
    • /
    • v.34 no.3
    • /
    • pp.109-124
    • /
    • 2017
  • Through a wide variety of disciplines, practices on data access and re-use have been increased recently. In fact, there has been an emerging phenomenon that researchers tend to use the data sets produced by other researchers and give scholarly credit as citation. With respect to this practice, in 2012, Thomson Reuters launched Data Citation Index (DCI). With the DCI, citation to research data published by researchers are collected and analyzed in a similar way for citation to journal articles. The purpose of this study is to identify the characteristics and intellectual structure of sociology field based on research data, which is one of actively data-citing fields. To accomplish this purpose, two data sets were collected and analyzed. First, from DCI, a total of 8,365 data were collected in the field of sociology. Second, a total of 12,132 data were collected from Web of Science with a topic search with 'Sociology'. As a result of the co-word analysis of author provided-keywords for both data sets, the intellectual structure of research data-based sociology was composed of two areas and 15 clusters and that of article-based sociology was composed with three areas and 17 clusters. More importantly, medical science area was found to be actively studied in research data-based sociology and public health and psychology are identified to be central areas from data citation.

Analysis on the Causes and Countermeasures of Sino-US Trade Friction

  • Tan, Dan;Shuai, Xiaoyu
    • Asia-Pacific Journal of Business
    • /
    • v.7 no.2
    • /
    • pp.49-59
    • /
    • 2016
  • The study attempts to investigate the causes of Sino-U.S. trade friction in recent years and provides countermeasures accordingly. The import and export volume of two countries, the product structure of China's export, the 337th Act lawsuits related to China, the industries involved in trade friction, and the G-L Index of Sino-U.S. Products are analyzed in detail. The causes of Sino-US trade frictions are discussed from the aspect of mercantilism and trade protectionism, interest groups and governments' trade policies, Chinese product structure, intellectual property protection in China, and performance of Chinese enterprises in litigation. Based on these, countermeasures are put forward. China needs to implement industrial upgrading, increasing the added value of products, and improving intellectual property protection. A trade friction warning system also needs to be constructed. The Chinese government needs to carry out strategic dialogue and international negotiation.

  • PDF

An Analytical Study on Research Trends of Reading and Reading Instruction in Overseas: Focused on Library and Information Science (국외 독서 및 독서교육 연구동향 분석: 문헌정보학 분야를 중심으로)

  • Kim, Pan Jun
    • Journal of the Korean Society for information Management
    • /
    • v.32 no.3
    • /
    • pp.69-97
    • /
    • 2015
  • This study aims to analyse the research areas and trends of reading (reading instruction) abroad in the respect of LIS, and suggest future research tasks. First, I reviewed the controlled keywords in SU field of LISTA database and the entries of DDC 23, and identified the research areas of reading and reading instruction in overseas. Second, I analysed the research trends of this field by applying a intellectual structure analysis on 2,115 research articles (1914~2014) retrieved from a representative database in the areas of Library and Information Science (LISTA). Third, Based on the results of these analysis, I suggested the future research tasks of this field in the domain of library and information science.

Bibliometric Analysis on Health Information-Related Research in Korea (국내 건강정보관련 연구에 대한 계량서지학적 분석)

  • Jin Won Kim;Hanseul Lee
    • Journal of the Korean Society for information Management
    • /
    • v.41 no.1
    • /
    • pp.411-438
    • /
    • 2024
  • This study aims to identify and comprehensively view health information-related research trends using a bibliometric analysis. To this end, 1,193 papers from 2002 to 2023 related to "health information" were collected through the Korea Citation Index (KCI) database and analyzed in diverse aspects: research trends by period, academic fields, intellectual structure, and keyword changes. Results indicated that the number of papers related to health information continued to increase and has been decreasing since 2021. The main academic fields of health information-related research included "biomedical engineering," "preventive medicine/occupational environmental medicine," "law," "nursing," "library and information science," and "interdisciplinary research." Moreover, a co-word analysis was performed to understand the intellectual structure of research related to health information. As a result of applying the parallel nearest neighbor clustering (PNNC) algorithm to identify the structure and cluster of the derived network, four clusters and 17 subgroups belonging to them could be identified, centering on two conglomerates: "medical engineering perspective on health information" and "social science perspective on health information." An inflection point analysis was attempted to track the timing of change in the academic field and keywords, and common changes were observed between 2010 and 2011. Finally, a strategy diagram was derived through the average publication year and word frequency, and high-frequency keywords were presented by dividing them into "promising," "growth," and "mature." Unlike previous studies that mainly focused on content analysis, this study is meaningful in that it viewed the research area related to health information from an integrated perspective using various bibliometric methods.

Research trends in the field of multicultural education Network analysis:Focusing on Time series analysis of Co-word (다문화교육 분야의 연구동향에 대한 네트워크 분석: 동시출현단어의 시계열 분석중심으로)

  • Bae, Kyungim
    • Journal of Convergence for Information Technology
    • /
    • v.11 no.10
    • /
    • pp.159-170
    • /
    • 2021
  • The purpose of this study was to understand the knowledge structure through keyword network analysis for the purpose of identifying research trends in the research field of multicultural education. To this end, the research trends and intellectual structure of multicultural education were identified through network analysis of words that appeared more than 6 times in the keywords of the papers registered in the KCI (Korean Journal of Citation Index) from 2002 to 2020. Study changes were analyzed by analysis. As a result of the analysis, the first period (2002-2010) focused on multicultural society and multiculturalism, while the second period (2011-2015) additionally introduced multicultural families, globalization, and teacher education, and the third period (2016-2020), multicultural receptivity, multicultural sensitivity, and multicultural efficacy were newly revealed. The research trend of multicultural education in Korean society over the past 19 years has been confirmed that the research topic has changed from theoretical research to empirical research, and the content of multicultural education has also been specified and expanded by field and subject.

An Analysis of the Intellectual Structure of Venture-Creation Studies to build an Entrepreneurship Ontology (창업 온톨로지 구축을 위한 벤처창업 연구의 지식구조 분석)

  • Sim, Jae-Hu;Choi, Myeonggil
    • Knowledge Management Research
    • /
    • v.14 no.4
    • /
    • pp.75-86
    • /
    • 2013
  • The deeping interests and research toward Entrepreneurship, which is considered as an potential alternative for solving the continuing economic recession in the $21^{st}$ century, have grown. The process and methodology of the research could not be systematically arranged and the results of the research lack in efforts on the application of increasing suceess ratio in starting new business. This study adopted corpus methodology, through which we try to analyzes the knowledge structure in entrepreneurship research, derive essential concepts and the consisting domains in venture research. Based on the results of analysis, this study constructs the knowledge structure of venture research in a form of knowledge ontology. The results of the study could be a ground for entrepreneurship research and utilized as implication for a creation of construction for the entrepreneurship knowledge ontology.

  • PDF

Knowledge Structure of the Korean Journal of Occupational Health Nursing through Network Analysis (네트워크분석을 통한 직업건강간호학회지 논문의 지식구조 분석)

  • Kwon, Sun Young;Park, Eun Jung
    • Korean Journal of Occupational Health Nursing
    • /
    • v.24 no.2
    • /
    • pp.76-85
    • /
    • 2015
  • Purpose: The purpose of this study was to identify knowledge structure of the Korean Journal of Occupational Health Nursing from 1991 to 2014. Methods: 400 articles between 1991 and 2014 were collected. 1,369 keywords as noun phrases were extracted from articles and standardized for analysis. Co-occurrence matrix was generated via a cosine similarity measure, then the network was analyzed and visualized using PFNet. Also NodeXL was applied to visualize intellectual interchanges among keywords. Results: According to the results of the content analysis and the cluster analysis of author keywords from the Korean Journal of Occupational Health Nursing articles, 7 most important research topics of the journal were 'Workers & Work-related Health Problem', 'Recognition & Preventive Health Behaviors', 'Health Promotion & Quality of Life', 'Occupational Health Nursing & Management', 'Clinical Nursing Environment', 'Caregivers and Social Support', and 'Job Satisfaction, Stress & Performance'. Newly emerging topics for 4-year period units were observed as research trends. Conclusion: Through this study, the knowledge structure of the Korean Journal of Occupational Health Nursing was identified. The network analysis of this study will be useful for identifying the knowledge structure as well as finding general view and current research trends. Furthermore, The results of this study could be utilized to seek the research direction in the Korean Journal of Occupational Health Nursing.

An Exploratory Study on the Study Trend of Domestic Entrepreneurship Using Co-word Analysis Method (국내 기업가정신의 연구동향에 관한 탐색적 연구: 동시단어분석 방법을 중심으로)

  • Kim, Young-Su;Ko, Jong-Nam;Do, Man-Seung
    • Journal of the Korean Society for information Management
    • /
    • v.28 no.3
    • /
    • pp.295-312
    • /
    • 2011
  • This study conducted time-series analysis on domestic studies related to entrepreneurship for more than last 50 years by integrating the co-word analysis method of intellectual structure analysis into the study of entrepreneurship. The co-word analysis method is a quantitative analysis method to analyze the overall trend of the study and further study topics by visualizing the information between study topics and arranging the topics on two-dimensional plane and the study result showed largely four phases and the direction of the study path. According to the analysis, the study is started at embryonic study phase(third quadrant), the study topic of independent study phase(second quadrant) is a phase to be a settled independent area as a study and the topics of the study include topics of the study reflecting the situation of the times. At growing study phase(first quadrant) study topics which are closely related to the study topic are arranged, and the topics, the center of the study, are positioned at the study topics of maturity phase(4th quadrant).

A Study on the Intellectual Structure of Domestic Library and Information Science Based on Co-Citation (동시인용 분석 기반 국내 문헌정보학 분야의 지적구조에 관한 연구)

  • MinHui Lee;Seung-Jin Kwak
    • Journal of the Korean Society for Library and Information Science
    • /
    • v.57 no.4
    • /
    • pp.311-331
    • /
    • 2023
  • This study attempted to explore the characteristics of knowledge communication and investigate important research topics and key authors by analyzing major academic papers in the field of LIS in Korea for five years from 2018 to 2022. The research method collected and analyzed papers published for five years in four key journals in the field of domestic Library and Information Science from the Korean Citation Index (KCI) database. The paper was selected to extract the author data of the paper and the data of the reference, and network visualization was performed by conducting literature co-citation analysis and author co-citation analysis using Netminer. As a result of the analysis, it was possible to derive a pair of co-citations between authors, and it was confirmed that it is important to include multiple authors in the intellectual structure analysis in the academic field through co-citation frequency analysis among researchers. The literature confirmed the correlation between the topics of the paper, and it was found that research related to Library and Information Science was centered on the topics of library, digital, user, service, and data.

Examining the Intellectual Structure of Reading Studies with Co-Word Analysis Based on the Importance of Journals and Sequence of Keywords (학술지 중요도와 키워드 순서를 고려한 단어동시출현 분석을 이용한 독서분야의 지적구조 분석)

  • Zhang, Ling Ling;Hong, Hyun Jin
    • Journal of the Korean BIBLIA Society for library and Information Science
    • /
    • v.25 no.1
    • /
    • pp.295-318
    • /
    • 2014
  • The purpose of this study is to analyze the intellectual structure of reading studies by using Co-Word Analysis based on the mixed weight in which the level of academic journals and the position of keywords are calculated. To achieve it, 838 academic articles relating to reading studies from KCI during the period from 2003 to 2012 were retrieved and 56 keywords were extracted. The results of clustering analysis, MDS, network analysis are that the network based on the mixed weight has a better performance in above three methods and reading studies can be divided into 4 bigger divisions and 11 subdivisions. Finally, the result of document analysis shows reading studies changes its research tendency from theoretical studies to empirical studies.