• Title/Summary/Keyword: 지식 네트워크 분석

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A Study on a Government Portal from the Knowledge Management Perspective Using Hyperlink Network Analysis: Focusing on the Innovation Portal (정부포탈 지식관리의 하이퍼링크 네트워크 실증 분석 - 혁신포탈 사례를 중심으로 -)

  • Kim, Jaekeun;Yoo, Seung Hyun
    • Informatization Policy
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    • v.17 no.2
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    • pp.25-44
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    • 2010
  • In order to improve organizational performance, organizations should make a knowledge management system to share, distribute, and create related knowledge effectively in the operational process. It is not too much to say that organizational performance depends on the level of network and networking for the use of knowledge among the agents. Theoretically, a web portal is known as a useful instrument not only to link among the actors who have a specific interest and purpose but also to promote social networking which creates new knowledge relevant to user's environment. In the context, this article explored policy implications of building and operating government portals by analysing the efficacy of the "Innovative Portal", which the Korean government had opened to diffuse its innovation activities and to improve organizational innovation capacities in 2005, in innovation process from the knowledge management perspective. In particular, this study tried to identify how did the "Innovation Portal"influence network and networking of innovation knowledge using hyperlink network analysis method.

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Development of BSKT For Cultivating Tacit Knowledge Transfer (암묵지전이 활성화를 위한 BSKT(Brokering Systems for tacit Knowledge Transfer)개발)

  • Hong, Jong-Yi
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.1
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    • pp.39-48
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    • 2016
  • The tacit knowledge transfer cultivate the value and mount of tacit knowledge. The tacit knowledge transfer plays the most important role for improving the competitiveness of the organization. Despite the tacit knowledge transfer is very important, the research related with tacit knowledge transfer has not been actively carried out. The barriers to tacit knowledge transfer interfere with the tacit knowledge transfer. The barriers to tacit knowledge transfer are lack of understanding knowledge experts, heavy over-work, insufficient compensation, trust shortage and knowledge stickiness. In order to overcome the barrier of the tacit knowledge transfer, it is necessary to promote knowledge broker. The knowledge broker is the foundation for the tacit knowledge transfer and the critical success factor for efficient tacit knowledge transfer. However, most research related on the knowledge broker had focused on the degree, centrality and density of the knowledge network. The framework is needed to performance indicator for diagnosing the tacit knowledge transfer. Therefore, we suggest the knowledge broker framework based on the social network analysis.

Design and Implementation of A Threshold Adaptation and Knowledge Inference System Using Network Operation Knowledge Database (네트워크 운영경험 데이터베이스를 이용한 임계값 최적화 및 지식 발견 시스템 설계 및 구현)

  • Oh, Do-Eun;Park, Myoung-Hye;Kim, Sun-Ik;Lee, Jin-Kee
    • Proceedings of the KIEE Conference
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    • 2001.07d
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    • pp.2720-2722
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    • 2001
  • 기업 네트워크에서 안전하고 효과적이며 안정된 망 운영관리 환경 제공은 당면한 중요과제이며 기업 경쟁력의 핵심인 정보기술을 통한 생산성과도 연계성을 갖고 있다. 이러한 필요에 맞추어 많은 네트워크 관리 시스템들이 개발되어 상용화 되었으나 이들 관리시스템들은 트래픽 모니터링에 의한 통계값 제공과 같은 단순 평면적인 관리 기능만을 제공할 뿐 네트워크의 특성과 환경에 따른 분석, 진단 기능은 제공하지 못하고 있다. 또한 현재의 네트워크 환경은 다양한 통신장비와 서비스들의 개발에 따른 망 구성 요소의 이질성과 복잡성이 증가하고 있으며 이는 전문적인 네트워크 운영관리와 분석기술을 요구하고 있다. 이는 관리자에게 네트워크가 점점 다양화, 복잡화 되는 환경에서 부담으로 작용할 뿐 아니라 결과를 도출하는데 많은 시간과 비용이 소요된다. 따라서 기존 네트워크 관리 시스템의 한계를 극복하고 네트워크 환경 변화를 수용, 관리자의 운영경험지식을 데이터베이스화하여 지능적인 네트워크의 분석과 진단이 가능한 시스템의 개발이 필요하다. 본 논문은 이러한 시스템 구축의 전제조건으로 네트워크 운영경험 데이터베이스를 구축하여 이를 통한 네트워크 환경 변화를 수용할 수 있는 임계값 최적화와 향후 한국전력 사내 데이터통신망의 지능화된 분석과 진단을 위해 활용하게 될 지식 발견 시스템을 설계 및 구현하였다.

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Citation Flow of the ASIST Proceeding Using Pathfinder Network Analysis (패스파인더 네트워크 분석에 의한 ASIST Proceedings 인용흐름 연구)

  • Kim, Hee-Jung
    • Journal of the Korean Society for information Management
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    • v.25 no.2
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    • pp.157-166
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    • 2008
  • In this study, pathfinder network analysis has been carried out to identify subject domains of documents which cited articles in the ASIST Proceedings. This represents how articles in the ASIST Proceedings are flowed and used in what subjects areas. For this analysis, 240 documents were selected through a search of the Scopus database. The complete linkage clustering method was used to draw out 16 clusters from 240 documents. Through MDS and pathfinder network analysis, knowledge networks of clusters have been produced. As a result. articles in the ASIST Proceedings relating to knowledge management, bibliometrics, information retrieval and digital libraries have been cited actively by other publications. The most frequent citation flow type of ASIST proceedings was citation from proceedings(ASIST) to reviews(ARIST), via journals, and the most popular subject areas related to documents were bibliometrics.

Changes in Korea Steel Industry and Formation Process of Technology-knowledge network (한국 철강산업 변화와 기술지식 네트워크 형성 과정)

  • Park, Sohyun
    • Journal of the Economic Geographical Society of Korea
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    • v.19 no.3
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    • pp.474-490
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    • 2016
  • This paper investigates how Kora steel industry has experienced technological diversification, organizational flexibility, and geographical dispersion, and analyzes how technology-knowledge network has formed. The network is constructed using mutual patent data. K-medoid clustering and brokerage analysis are applied. The results indicate actors in network are diversified and links between those who belong to the same cluster get stronger. Network formation reflects affiliation, competition, and cooperation in the industry, and brokerage roles of conglomerates, research institute, and small and medium sized companies are detected.

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A Workflow-based Affiliation Network Knowledge Discovery Algorithm (워크플로우 협력네트워크 지식 발견 알고리즘)

  • Kim, Kwang-Hoon
    • Journal of Internet Computing and Services
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    • v.13 no.2
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    • pp.109-118
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    • 2012
  • This paper theoretically derives an algorithm to discover a new type of workflow-based knowledge from workflow models, which is termed workflow-based affiliation network knowledge. In general, workflow intelligence (or business process intelligence) technology consists of four types of techniques that discover, analyze, monitor and control, and predict a series of workflow-based knowledge from workflow models and their execution histories. So, this paper proposes a knowledge discovery algorithm which is able to discover workflow-based affiliation networks that represent the association and participation relationships between activities and performers defined in ICN-based workflow models. In order particularly to prove the correctness and feasibility of the proposed algorithm, this paper tries to apply the algorithm to a specific workflow model and to show that it is able to derive its corresponding workflow-based affiliation network knowledge.

특허분석을 통한 한국의 지식흐름과 혁신네트워크 특성 분석

  • 박규호
    • Proceedings of the Technology Innovation Conference
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    • 2005.08a
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    • pp.189-216
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    • 2005
  • 본 연구는 혁신과정에 중대한 영향을 미치는 혁신네트워크를 혁신과정을 둘러싼 제반 지식흐름과 이러한 지식흐름의 네트워크로 재정의하고, 지식흐름과 지식네트워킹 차원에서 접근하였다. 이러한 차원에서, 지식흐름의 대리변수로 간주되는 특허인용데이터를 활용하여 한국의 혁신주체를 둘러싼 지식네트워킹의 특성을 분석하는 방식으로 혁신네트워크를 분석했다. 그 결과, 한국의 기술혁신의 수준이 강화되면서 한국의 지식네트워킹 수준도 제고되었지만, 기술선진국과 비교할 때 상당히 미약한 수준임이 확인할 수 있었다. 또한 기술분야별로 보면 전기전자와 컴퓨터통신에서만 지식네트워킹이 상대적으로 활발하고 여타 기술부문에서는 상대적으로 저조하여 지속적인 기술혁신에 장애로 작용할 가능성이 크다. 동종기술과 이종기술로 구분하는 경우 여전히 동종기술간 지식흐름이 이종기술간 지식흐름을 압도하고 있어서 융합추세의 국제적 트렌드를 반영하고 있지 못하는 한계를 보였다. 이들 지식네트워크는 혁신기업이 주도하고 있는데, 그 방식은 주로 기업과 기업간 유형이 보다 지배적이었음을 알 수 있다. 따라서 최소한 특허인용데이터로 볼 때 대학과 연구소 등 비기업과의 지식네트워킹에 비해, 기업과의 네트워킹이 보다 지배적임을 알 수 있는데, 이것은 국내외를 막론하고 적용되었다. 한국 혁신시스템의 취약한 고리인 네트워킹의 저조를 개선하기 위해선, 기술부문간 차별적인 네트워킹 정책이 세심하게 입안되어야 한다. 이때 한국에서 가장 파급효과가 높은 혁신주체는 대학이 아니라 대기업이라는 점이 적극 고려되어야 한다.. 제안하는 시스템의 신뢰도 측정 방법은 부분이 가지고 있는 신뢰도가 전체 신뢰도에 미치는 영향을 산술적으로 측정할 수 있어 시스템이 요구하는 신뢰도에 접근할 수 있는 방법과 근거를 제공하는 장점이 있다.소시키는 장점을 갖는다.것으로 조사되었으며 40대 이상의 연령층은 점심비용으로 더 많은 지출을 하고 있는 것으로 나타났다. 4) 끼니별 한식에 대한 선호도는 아침식사의 경우가 가장 높았으며, 이는 40대와 50대에서 높게 나타났다. 점심 식사로 가장 선호되는 음식은 중식, 일식이었으며 저녁 식사에서 가장 선호되는 메뉴는 전 연령층에서 일식, 분식류 이었으며, 한식에 대한 선택 정도는 전 연령층에서 매우 낮게 나타났다. 5) 각 연령층에서 선호하는 한식에 대한 조사에서는 된장찌개가 전 연령층에서 가장 높은 선호도를 나타내었고, 김치는 40대 이상의 선호도가 30대보다 높게 나타났으며, 흥미롭게도 30세 이하의 선호도는 30대보다 높게 나타났다. 그 외에도 떡과 죽에 대한 선호도는 전 연령층에서 낮게 조사되었다. 장아찌류의 선호도는 전 연령대에서 낮았으며 특히 30세 이하에서 매우 낮게 조사되었다. 한식의 맛에 대한 만족도 조사에서는 연령이 올라갈수록 한식의 맛에 대한 만족도는 낮아지고 있었으나, 한식의 맛에 대한 만족도가 높을수록 양과 가격에 대한 만족도는 높은 경향을 나타내었다. 전반적으로 한식에 대한 선호도는 식사 때와 식사 목적에 따라 연령대 별로 다르게 나타나고 있으나, 선호도는 성별이나 세대에 관계없이 폭 넓은 선호도를 반영하고 있으며, 이는 대학

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The Knowledge Structure of Multicultural Research Papers in Korea (다문화연구의 지식구조에 관한 네트워크 분석)

  • Jang, Im-Sook;Chang, Durk-Hyun;Lee, Soo-Sang
    • Journal of Korean Library and Information Science Society
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    • v.42 no.4
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    • pp.353-374
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    • 2011
  • Analyzing research paper published from 2005 to 2010, this study aims for analysing the research paradigm on multi-culture and understanding the structural characteristics of the multicultural knowledge via scientometric. Co-word network constructed by keywords in documents and their co-occurrence relationships is a kind of mapping knowledge structure. A total of 4,521 and 1,373 papers published between 2005 and 2010 were retrieved from the KRF Registered Journals and Proposed Journals. This paper employs k-core analysis method in the field of mapping knowledge structure to analyze keyword co-occurrence network of multicultural research in Korea. And Netminer 3 is employed to visualize the networks in this paper.

Analysis of Assortativity in the Keyword-based Patent Network Evolution (키워드기반 특허 네트워크 진화에 따른 동종성 분석)

  • Choi, Jinho;Kim, Junguk
    • Journal of Internet Computing and Services
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    • v.14 no.6
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    • pp.107-115
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    • 2013
  • Various networks can be observed in the world. Knowledge networks which are closely related with technology and research are especially important because these networks help us understand how knowledge is produced. Therefore, many studies regarding knowledge networks have been conducted. The assortativity coefficient represents the tendency of connections between nodes having a similar property as figures. The relevant characteristics of the assortativity coefficient help us understand how corresponding technologies have evolved in the keyword-based patent network which is considered to be a knowledge network. The relationships of keywords in a knowledge network where a node is depicted as a keyword show the structure of the technology development process. In this paper, we suggest two hypotheses basedon the previous research indicating that there exist core nodes in the keyword network and we conduct assortativity analysis to verify the hypotheses. First, the patents network based on the keyword represents disassortativity over time. Through our assortativity analysis, it is confirmed that the knowledge network shows disassortativity as the network evolves. Second, as the keyword-based patents network becomes disassortavie, clustering coefficients become lower. As the result of this hypothesis, weconfirm the clustering coefficient also becomes lower as the assortative coefficient of the network gets lower. Another interesting result concerning the second hypothesis is that, when the knowledge network is disassorativie, the tendency of decreasing of the clustering coefficient is much higher than when the network is assortative.

Analyzing Regional Characteristics of Producer service Networks: Comparing the Capital region with Gyeongsang region (생산자서비스 네트워크의 지역별 특성 연구: 수도권과 경상권의 비교 분석)

  • Kim, Hyung-Joo;Lee, Jeong-Hyop
    • Journal of the Economic Geographical Society of Korea
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    • v.13 no.1
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    • pp.1-18
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    • 2010
  • This paper examines characteristics of producer service networks by comparing the Capital region with Gyeongsang region in Korea and provides implications for regional policies of producer services. We employ the data of the Korea Innovation Survey, compiled by Science & Technology Policy Institute in 2006 and analyze producer service networks in the two regions. According to the results of production networks analysis, producer service firms in Gyeongsang region serve to relatively limited areas of market whereas those in the Capital region serve to a larger market. No difference is found between producer service firms in the Capital region and those in Gyeongsang region for the types of major customers. Analysis of knowledge/information networks demonstrates that firms in the Capital region mostly count on informal networks while those in Gyeongsang region primarily rely on their suppliers as a source of key information. Firms in Gyeongsand region often gain key information from the Capital region. The results of Social Network Analysis show that both of the innovation networks for two regions are poorly connected. In order to promote producer services, each region needs strategic approach reflecting regional characteristics and demands of regional industries.

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