• Title/Summary/Keyword: citation network

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Examining on the Relationship Between Interdisciplinarity and Research Impact with Analyzing the Journals of Library and Information Science Field (학제성과 연구 영향력의 상관관계에 관한 연구: 문헌정보학 분야 학술지를 대상으로)

  • Park, SoYoon;Chung, EunKyung
    • Journal of the Korean Society for information Management
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    • v.30 no.4
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    • pp.7-29
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    • 2013
  • As interdisciplinary research has been dominant in various fields, the purpose of this study is to analyze the relationship between interdisciplinarity and research impact in the field of Library and Information Science. For a data set, ten journals ranked as the top of 2011 JCR's in terms of JIF (Journal Impact Factor) were selected. The citation data of 1,873 articles from the ten journals were collected from the WoS during the period from 2006 to 2010. In order to achieve the purpose of this study, as network analysis was conducted to investigate the interdisciplinarity of LIS field, interdisciplinarity indicators, and research impact factors were statistically analyzed. The findings of this study confirmed the interdisciplinary knowledge structure of the LIS field as previous studies identified. More importantly, this study demonstrated that a positive correlation existed between interdisciplinarity represented as betweenness centrality and research impact.

Using US Patent Analysis to Monitor the Technological Trend in the Field of Gastrointestinal Microbiome - Implications on Korean Medicine Research and Development - (미국 특허분석으로 보는 장내 미생물 기술 발전 현황 - 한의학 연구 및 한의약 기술 발전에 주는 시사점 -)

  • Geoncheol Jo;Sejun Yoon;Jeong Woon ,Bae;Byung Joo Kim
    • The Journal of Korean Medicine
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    • v.44 no.1
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    • pp.38-55
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    • 2023
  • Objectives: The purpose of this study was to provide direction for future research in the field of Korean medicine by analyzing microbiome based technologies emerging as a new diagnostic and treatment paradigm. Methods: To achieve the purpose of the study intellectual property data was used. After establishing citation network from registered microbiome-related US patents, citation network was analyzed by knowledge persistence-based main path approach to understanding technological trajectories. Furthermore, community detection algorithms were used to quantitatively identifying specific technological domain in a particular time period. Results: Results shows that early technologies in livestock industry contribute most to the recent patents. Knowledge in the patents flow through the path of food and beverage technological domain, and finally are inherited to the recent development of diagnosis, treatment and prevention technic. Conclusions: This study indicate that developing diagnostic tools which can link the composition of microbiome to specific diseases should be given high priority. Researches should lead to novel therapeutic strategies. Specifically, improving reliability of pattern identification and finding effective therapeutic compositions based on principles of Korean medicine is necessary.

The Analysis Methods Based on Patent Citation Networks for the Convergence Technologies Development Planning : A Case of Smart Factory's ICT Technologies (융합기술 개발전략 기획을 위한 특허 인용 네트워크 기반의 분석 방법론 : 스마트공장 ICT 기술을 중심으로)

  • Lee, Hyun-Min;Kim, Sun-Jae;Kim, Hong-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.1
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    • pp.34-47
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    • 2018
  • As interest in advanced countries regarding the convergence technology development increases, a methodology for identifying the core convergence technology that has a large spill-over effect on the technology and industry is required for the nation's competitiveness enhancement in the convergence technology field. Based on patent citation network analysis using 1,124 USPTO patents in the ICT convergence technology field of the smart factory, this study examined the proposed heterogeneous technology convergence index as a tool for measuring the convergence characteristics of the spillovers compared to other indexes (i.e. other sector ratio index and homogeneous technology convergence index). The proposed heterogeneous technology convergence index was used to investigate core technology sectors among ICT technology sectors of smart factory identified by government ministries. Results found 6 core ICT convergence technology sectors including the manufacturing execution analysis application sector. Also, this study conducted blockmodeling analysis using the IPC codes of patents in the manufacturing execution analysis application sector, and identified that the blocks representing the electronic communication and electric digital data processing technology sectors (Block 3 & 4) are related technology sectors which can be converged with core technology. Based on the findings, the implications for the convergence technology development planning of the smart factory field are discussed.

Social Network Analysis on Research Keywords of Child-Occupation Studies (아동의 작업 연구주제어의 사회연결망 분석)

  • Ha, Seong-Kyu;Park, Kang-Hyun
    • Therapeutic Science for Rehabilitation
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    • v.12 no.4
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    • pp.39-51
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    • 2023
  • Objective : This study seeks to unveil the intellectual framework of research surrounding children's occupations by utilizing social network analysis of keywords from studies focused on childhood. Methods : From August 2003 to August 2023, we analyzed 3,364 keywords extracted from 270 research articles in the Korean Citation Index with the keyword "Child and Occupation" using the NetMiner program. Results : Research on children's work has increased quantitatively over the past decade. Keywords exhibiting a high degree of centrality in the realm of child occupation research included Task (0.055), Group therapy (0.040), Working memory (0.037), Intervention (0.033), Performance (0.030), Language (0.026), Ability (0.026), Skill (0.024), and Program (0.023). Notably, the weighted terms in the Word Network included Evaluation-Tool (30), School-Student (15), and Activity-Participation (15). The primary keywords from each topic in topic modeling were Activity (0.295), Disability (0.604), Education (0.356), Skill (0.478), School (0.317), Function (0.462), Disorder (0.324), Language (0.310), Comprehension (0.412), and Training (0.511). Conclusion : This study describes the trends in the domestic field of pediatric occupational research. These efforts provided valuable insights into pediatric occupational therapy in South Korea.

A Study of the Relationship Between Centrality and Research Performance in Collaborative Research Network (공동연구 네트워크에서 중심성과 연구성과 간의 관련성에 관한 연구)

  • Moon, Seonggu;Kim, Injai
    • KIPS Transactions on Software and Data Engineering
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    • v.7 no.5
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    • pp.169-176
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    • 2018
  • The purpose of this study is to analyze the relationship between the centrality and the research performance by conducting the social network analysis for the social science journal in the last 10 years. As a result of the relationship analysis, the correlation between centrality and research productivity was highly correlated in most groups, but the impact factor and frequency of citations were not significant. In relation with the comprehensive research such as a H-index, middle productive group correlation was more significant than the upper productive group.

Research trends related to childhood and adolescent cancer survivors in South Korea using word co-occurrence network analysis

  • Kang, Kyung-Ah;Han, Suk Jung;Chun, Jiyoung;Kim, Hyun-Yong
    • Child Health Nursing Research
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    • v.27 no.3
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    • pp.201-210
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    • 2021
  • Purpose: This study analyzed research trends related to childhood and adolescent cancer survivors (CACS) using word co-occurrence network analysis on studies registered in the Korean Citation Index (KCI). Methods: This word co-occurrence network analysis study explored major research trends by constructing a network based on relationships between keywords (semantic morphemes) in the abstracts of published articles. Research articles published in the KCI over the past 10 years were collected using the Biblio Data Collector tool included in the NetMiner Program (version 4), using "cancer survivors", "adolescent", and "child" as the main search terms. After pre-processing, analyses were conducted on centrality (degree and eigenvector), cohesion (community), and topic modeling. Results: For centrality, the top 10 keywords included "treatment", "factor", "intervention", "group", "radiotherapy", "health", "risk", "measurement", "outcome", and "quality of life". In terms of cohesion and topic analysis, three categories were identified as the major research trends: "treatment and complications", "adaptation and support needs", and "management and quality of life". Conclusion: The keywords from the three main categories reflected interdisciplinary identification. Many studies on adaptation and support needs were identified in our analysis of nursing literature. Further research on managing and evaluating the quality of life among CACS must also be conducted.

A Study on the Standards Evaluation Method Using Standards Networks (표준 연결망을 활용한 표준의 평가방법에 관한 연구)

  • Choi, Jae Jin;Chung, Soon Suk;Kim, Kwang Soo
    • Journal of Korean Society for Quality Management
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    • v.47 no.2
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    • pp.315-325
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    • 2019
  • Purpose: The purpose of this study was to propose useful standards evaluation method using standards networks by analyzing the relationship between normative references citation information list. Methods: The collected data through the survey were analyzed using social network analysis. The measurement tools used for this study were divided into three dimensions such as certificate standard, normative reference and degree centrality. Results: The results of this study are as follows; regarding the influence of standard information, It is meaningful that the research using normative reference item among the bibliography information that the standard itself possesses. The analysis of social network analysis data of population standard, normative reference and the correlation analysis with sales, a variable representing actual utilization performance, suggested the importance of the standard and how to evaluate it. Conclusion: In prioritizing standard maintenance, more efficient management will be possible if centrality figures of standard network information are analyzed and used for standard maintenance.

Collaboration Networks and Document Networks in Informetrics Research from 2001 to 2011: Finding Influential Nations, Institutions, Documents (계량정보학분야의 협력연구 네트워크 및 문헌네트워크 분석 : 국가, 기관, 문헌단위 분석)

  • Lee, Jae Yun;Choi, Sanghee
    • Journal of the Korean Society for information Management
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    • v.30 no.1
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    • pp.179-191
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    • 2013
  • Since information scientists have begun trying to quantify significant research trends in scientific publications, '-metrics' research such as 'bibliometrics', 'scientometrics', 'informetrics', 'webometrics', and 'citation analysis' have been identified as crucial areas of information science. To illustrate the dynamic research activities in these areas, this study investigated the major contributors of '-metrics' research for the last decade at three levels: nations, institutions, and documents. '-metrics' literature of this study was obtained from the Science Citation Index for the years 2001-2011. In this analysis, we used Pathfinder network, PNNC algorithm, PageRank and several indicators based on h-index. In terms of international collaborations, USA and England were identified as major countries. At the institutional level, Katholieke University, Leuven and the University of Amsterdam in Europe and Indiana University and the Office of Naval Research in the USA have led co-research projects in informetrics areas. At the document level, Hirsch's h-index paper and Ingwersen's web impact factor paper were identified as the most influential work by two methods: PageRank and single paper h-index.

Research Trends of Studies Related to the Nature of Science in Korea Using Semantic Network Analysis (언어 네트워크 분석을 이용한 과학의 본성에 관한 국내연구 동향)

  • Lee, Sang-Gyun
    • Journal of the Korean Society of Earth Science Education
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    • v.9 no.1
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    • pp.65-87
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    • 2016
  • The purpose of this study is to examine Korean journals related to science education in order to analyze research trends into Nature of science in Korea. The subject of the study is the level of Korean Citation Index (KCI-listed, KCI listing candidates), that can be searched by the key phrase, "Nature of science" in Korean language through the RISS service. In this study, the Descriptive Statistical Analysis Method is utilized to discover the number of research articles, classifying them by year and by journal. Also, the Sementic Network Analysis was conducted to Word Cloud Analysis the frequency of key words, Centrality Analysis, co-occurrence and Cluster Dendrogram Analysis throughout a variety of research articles. The results show that 91 research papers were published in 25 journals from 1991 to 2015. Specifically, the 2 major journals published more than 50% of the total papers. In relation to research fields., In addition, key phrases, such as 'Analysis', 'recognition', 'lessons', 'science textbook', 'History of Science' and 'influence' are the most frequently used among the research studies. Finally, there are small language networks that appear concurrently as below: [Nature of science - high school student - recognize], [Explicit - lesson - effect], [elementary school - science textbook - analysis]. Research topic have been gradually diversified. However, many studies still put their focus on analysis and research aspects, and there have been little research on the Teaching and learning methods.

A Systematic Literature Review of Social Entrepreneurship: Focusing on the Field of Business Administration (사회적 기업가정신의 체계적 문헌연구: 경영학 분야를 중심으로)

  • Yoo, Hanna;Lee, Sujin;Jeong, EuiBeom
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.5
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    • pp.83-98
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    • 2022
  • As the complexity of social problems and interdependency increased significantly, research on social entrepreneurship(SEship) increased rapidly. In this study, systematic approaches(bibliometrics analysis, citation network analysis, and keyword network analysis) were performed to identify research trends in business administration. To this end, keywords of 883 SEship papers published in prominent journals in the SCOPUS database were collected to investigate the existing research flow. The results of this study can be helpful for grasping the perspective of scholars in the business administration on SEship research and determining research topics through understanding related concepts.