• Title/Summary/Keyword: knowledge network analysis

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Research Trend Analysis on Practical Arts (Technology & Home Economics) Education Using Social Network Analysis (소셜 네트워크 분석(SNA)을 이용한 실과(기술·가정)교육 분야 연구 동향 분석)

  • Kim, Eun Jeung;Lee, Yoon-Jung;Kim, Jisun
    • Human Ecology Research
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    • v.56 no.6
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    • pp.603-617
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    • 2018
  • This study analyzed research trends in the field of Practical Arts (Technology & Home Economics) education. From 958 articles published between 2010 and 2018 in the Journal of Korean Practical Arts Education (JKPAE), Journal of Korean Home Economics Education Association (JHEEA), and Korean Journal of Technology Education Association (KJTEA), 958 keywords were extracted and analyzed using NetMiner 4. When the general network structure was analyzed, keywords such as practical arts education, curriculum, textbook, home economics education, and students were high in the degree centrality and closeness centrality, and textbook, practical arts education, curriculum, student, home economics education, and invention were high in the node betweenness centrality. The cluster analysis showed that a four-cluster solution was most appropriate: cluster 1, technology and experiential learning activities; cluster 2, curriculum studies and practical problem; cluster 3, relationships; and cluster 4, creativity and character education. The three journals showed differences in the knowledge network structure: The topics of JKPAE and JKHEEA focused on general content knowledge and curriculum, while the topics of KJTEA were spread across invention and creativity education, and curriculum studies.

Co-author Network Characteristics of Korean System Dynamics Review (한국시스템다이내믹스 학회지 공저자 네트워크 특성에 관한 연구)

  • Kim, Sun-Duck;Sin, Cheol;Jung, Hyung-Ki;Lee, Man-Hyung
    • Korean System Dynamics Review
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    • v.17 no.3
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    • pp.31-50
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    • 2016
  • This study examines the basic conditions of joint authorship research activities in the Korean System Dynamics Review and points out the structural co-author network characteristics among co-authored papers based on the social network analysis(SNA) techniques. In specific, this study identifies the cooperative relationship of research papers in the Korean System Dynamics Review, knowledge formation, and knowledge propagation paths. The study results imply that Korean System Dynamics Review has exhibited the typical 'Steven's power law,' which is repeatedly observed among complex systems, and that knowledge structure centered upon and propagated around couples of researchers. Additionally, the study results present that there have been active personal exchanges among major researchers. In contrast, personal contacts among research groups and within groups seem relatively weak.

Knowledge Structure of Posttraumatic Growth Research: A Network Analysis (네트워크 분석을 통한 외상 후 성장 지식구조 연구)

  • Shin, JooYeon;Kwon, Sunyoung;Bae, Ka Ryeong
    • Journal of Industrial Convergence
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    • v.20 no.10
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    • pp.61-69
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    • 2022
  • Posttraumatic growth literature has been rapidly expanding in multiple academic disciplines. Purpose of this study is to examine the knowledge structure of posttraumatic growth utilizing a network analysis. Papers published between 1996 and 2018 were searched on the Web of Science, focusing on terms related to posttraumatic growth. One thousand six-hundred and fifty-nine keywords were published 6,343 times in 1,780 papers; thus, a total of 322 keywords (5,195 appearances) were selected for the final analysis. The network analysis and network visualization tool used were NodeXL and PFnet, respectively. The keywords which appeared the most frequently were "Posttraumatic growth," followed by "Posttraumatic Stress Disease," "Cancer," and "Trauma." A total of 322 nodes have been reduced to 175 nodes and divided into a total of five groups. The five groups were "Posttraumatic Growth in Cancer, Chronic/Serious Illness, and Disability," "Posttraumatic Growth-related Psychological Variables and Psychotherapy," "Posttraumatic Growth in the Context of Death," "Cognitive Mechanisms of Posttraumatic Growth," and "Vicarious Posttraumatic Growth." This study provides a systematic overview on the knowledge structure of posttraumatic growth by quantitatively network analysis.

A trend analysis of the Knowledge Management Research using graph theory and network model (그래프 이론 및 네트워크 모델을 이용한 지식경영연구 논문 트랜드 분석)

  • Lee, Dong Hyun;Lee, Ho;Kim, Jungmin
    • Knowledge Management Research
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    • v.17 no.1
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    • pp.1-16
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    • 2016
  • The purpose of this study is to analyze 352 scholarly journals and 1496 keywords in Knowledge Management Research from 2000 to 2015 and provide systematical view point of research trend in the area of knowledge management using graph theory and network model. The relational patterns among keywords as well as keywords which recently received noticeable attention and keywords which receded from the spotlight in recent years in the knowledge management literature were identified. The result of this study can be used as a foundation of future research ideas in knowledge management.

A Framework for Knowledge Propagation Analysis using Social Network (사회연결망을 이용한 지식전파 분석의 프레임워크)

  • Hwang, Hyun-Seok
    • Journal of Korea Society of Industrial Information Systems
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    • v.19 no.6
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    • pp.97-106
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    • 2014
  • A company regards knowledge shared and used within a corporate organization as intellectual capital linked to corporate competences. A great deal of research has been conducted in the past to identify knowledge sharing among knowledge workers. Some papers focus on information technology for automated, efficient, and explicit knowledge sharing. Other papers emphasize the role of social networks to identify the flow of tacit knowledge. Though the role of CoP(Community of Practice) is emphasized to facilitate knowledge management among workers, it is not an easy task to identify the potential members of CoP without voluntary participation of the workers. In this study we adopt a social network approach to analyze knowledge propagation and to identify the potential members of CoP. We suggest a framework for classifying knowledge workers and the result of feasibility study.

A Nexus among Strategic Orientation, Social Network, Knowledge Sharing, Organizational Innovation, and MSMEs Performance

  • MUAFI, Muafi
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.6
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    • pp.327-338
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    • 2020
  • This study wants to test the nexus among resource orientation, market orientation, social network, and knowledge sharing toward organizational innovation, and the nexus between organizational innovation and MSMEs performance. Questionnaires and interviews are conducted with some MSMEs actors in Central Java Province, Indonesia, in Klaten Regency and Pekalongan City. These two areas have creative MSMEs, especially Batik MSMEs that have been very large and known worldwide. The sampling technique is done purposively with certain criteria for the respondents. The data analysis technique is done using Partial Least Square. This study provides recommendations about strategic practice and policy (resource and market), social network, and knowledge sharing in increasing organizational innovation, and the impact of organizational innovation toward MSMEs performance. It also offers a comprehensive model of the determinant factor of organizational innovation by considering the aspect of strategic orientation, social network, and knowledge sharing. Other unique aspects that are also important to consider are social network and the importance of knowledge sharing in improving MSMEs Performance. The respondents are still limited in two areas, namely, Pekalongan and Klaten, so it still cannot represent the whole population. These areas also have different orientation of production process approach, namely, synthetic and natural dyes.

Comparison Analysis of Co-authorship Network and Citation Based Network for Author Research Similarity Exploration

  • Jeeyoung, Yoon;Min, Song
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.4
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    • pp.269-284
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    • 2022
  • Exploring research similarity of researchers offers insight on research communities and potential interactions among scholars. While co-authorship is a popular measure for studying research similarity of researchers, it cannot provide insight on authors who have not collaborated yet. In this work, we present novel approach to capture research similarity of authors using citation information. Extensive study is conducted on DATA & KNOWLEDGE ENGINEERING (DKE) publications to demonstrate and compare suggested approach with co-authorship based approach. Analysis result shows that proposed approach distinguishes author relationships that is not shown in co-authorship network.

How Should We Measure Knowledge Transfer? : Comparison of the Knowledge source's and the Recipient's Perspectives (지식이전행위, 어떻게 측정해야 하나? -제공자와 수용자의 관점 비교)

  • Kang, Minhyung
    • Knowledge Management Research
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    • v.12 no.2
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    • pp.1-16
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    • 2011
  • This study examined the influence of the antecedents of knowledge transfer from both the knowledge source's and recipient's perspectives using a social network survey. Prior research usually focused on either perspective of the knowledge source or recipient, thus could not include both. Analyzing the responses from 335 R&D employees of the five firms, the study showed that all antecedents of knowledge transfer - reward, reciprocity, subjective norm, and perceived behavioral control - are influential on knowledge transfer from the knowledge source's perspective. However, from the knowledge recipient's perspective, perceived behavioral control was influential on the quality of knowledge transfer and subjective norm was on the number of knowledge recipients. Expected reward and reciprocity did not show significant influence. This study proved that the necessity of considering both the knowledge source's and the recipient's perspectives when measuring knowledge transfer and the importance of intrinsic motivations, such as subjective norm and perceived behavioral control.

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Inferring Undiscovered Public Knowledge by Using Text Mining Analysis and Main Path Analysis: The Case of the Gene-Protein 'brings_about' Chains of Pancreatic Cancer (텍스트마이닝과 주경로 분석을 이용한 미발견 공공 지식 추론 - 췌장암 유전자-단백질 유발사슬의 경우 -)

  • Ahn, Hyerim;Song, Min;Heo, Go Eun
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.26 no.1
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    • pp.217-231
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    • 2015
  • This study aims to infer the gene-protein 'brings_about' chains of pancreatic cancer which were referred to in the pancreatic cancer related researches by constructing the gene-protein interaction network of pancreatic cancer. The chains can help us uncover publicly unknown knowledge that would develop as empirical studies for investigating the cause of pancreatic cancer. In this study, we applied a novel approach that grafts text mining and the main path analysis into Swanson's ABC model for expanding intermediate concepts to multi-levels and extracting the most significant path. We carried out text mining analysis on the full texts of the pancreatic cancer research papers published during the last ten-year period and extracted the gene-protein entities and relations. The 'brings_about' network was established with bio relations represented by bio verbs. We also applied main path analysis to the network. We found the main direct 'brings_about' path of pancreatic cancer which includes 14 nodes and 13 arcs. 9 arcs were confirmed as the actual relations emerged on the related researches while the other 4 arcs were arisen in the network transformation process for main path analysis. We believe that our approach to combining text mining analysis with main path analysis can be a useful tool for inferring undiscovered knowledge in the situation where either a starting or an ending point is unknown.

A Study on Activation of Network through the Ba of Knowledge Sharing : The case of NPOs Network (지식공유의 장(場)을 통한 협력네트워크 활성화에 대한 연구 : 비영리조직 네트워크를 중심으로)

  • Jin, Ho-Seok;Park, Sang-Hyeok;Park, Jeong-Seon
    • The Journal of Information Systems
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    • v.26 no.2
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    • pp.85-104
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    • 2017
  • Purpose The purpose of this study is to improve the efficiency of the activities of loosely connected network organization through the platform(Ba) of knowledge sharing. Loosely connected network organizations have been tried to promote new work and complement the scarce resources through collaborations. NPO(Non-Profit Organization) is essential to establish cooperation networks in order to achieve the public interest on the basis of scarce resources. This study interpreted the Ba on the 'Change-On' program and analyzed the social networks of regional organizations through the activation of the Ba. The 'Change-On' program is conducted for several years to promote the efficiency of the NPO network by Daum Generation Foundation. Design/methodology/approach This study made a design to organize the Ba concept of Nonaka & Konno and presented a case of the Ba activated based on the NPO network of regional order. According to the social network analysis of regional cooperation within the network of participating organizations was extended, it was found that the principal plays a significant role as a central hub made. Findings According to the empirical analysis, this study illustrated that various types of network were formed among NPOs based on the 'Change-On'. Furthermore, the networks surrounding NPOs are extended to the other people connected to them. This means that the network of NPOs had been diversified via the facilitation of the Ba. This study throws new highlights on the new role for the Ba as a network promoter in addition to the partner as a technology-provider in the NPO ecosystem. Moreover, the network analysis between before-and-after can be used for the evaluation of the effectiveness of the various Ba programs.