• Title/Summary/Keyword: Social Network Analysis (SNA)

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Finding Naval Ship Maintenance Expertise Through Text Mining and SNA

  • Kim, Jin-Gwang;Yoon, Soung-woong;Lee, Sang-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.7
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    • pp.125-133
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    • 2019
  • Because military weapons systems for special purposes are small and complex, they are not easy to maintain. Therefore, it is very important to maintain combat strength through quick maintenance in the event of a breakdown. In particular, naval ships are complex weapon systems equipped with various equipment, so other equipment must be considered for maintenance in the event of equipment failure, so that skilled maintenance personnel have a great influence on rapid maintenance. Therefore, in this paper, we analyzed maintenance data of defense equipment maintenance information system through text mining and social network analysis(SNA), and tried to identify the naval ship maintenance expertise. The defense equipment maintenance information system is a system that manages military equipment efficiently. In this study, the data(2,538cases) of some naval ship maintenance teams were analyzed. In detail, we examined the contents of main maintenance and maintenance personnel through text mining(word cloud, word network). Next, social network analysis(collaboration analysis, centrality analysis) was used to confirm the collaboration relationship between maintenance personnel and maintenance expertise. Finally, we compare the results of text mining and social network analysis(SNA) to find out appropriate methods for finding and finding naval ship maintenance expertise.

The Impact of Influential's Betweenness Centrality on the WOM Effect under the Online Social Networking Service Environment (온라인 소셜 네트워크 서비스 환경에서 유력자의 매개 중심성이 구전 효과에 미치는 영향)

  • Park, Ji Hye;Suh, Bomil
    • Journal of Information Technology Applications and Management
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    • v.20 no.2
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    • pp.127-146
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    • 2013
  • The online social networking services (SNS) have been growing as the means of communication. In this study, we investigated word-of-mouth (WOM) effect under the SNS environment and evaluated the impact of message sender's influence on the WOM effect. Especially, this study focused on the betweenness centrality calculated through the social network analysis (SNA) of SNS network information, and proposed it as the measure of WOM message sender's influence, SNA may provide more accurate and objective measures than subjective self-reporting survey method. Fifty-one Facebook users responded to each of their four Facebook friends, who had been selected based on their betweenness centrality, Statistical analyses were performed using the responses and the betweenness centralities of the Facebook friends. The results showed that the direction (positive vs, negative) of a WOM message in SNS had an impact on the attitude of the message receiver toward the product. Moreover, the betweenness centrality of the message sender as well as his/her opinion leadership had a moderating effect on the WOM effect. Opinion leadership is a measure that has been frequently used for indicating the influence of WOM message sender in the previous studies. Considering the result that the betweenness centrality of the message sender was Significantly correlated to his/her opinion leadership, the betweenness centrality can be used for indicating the influence of WOM message sender.

A Study on the Service Innovation using SNS (SNS를 이용한 서비스 혁신 방법에 관한 연구)

  • Lee, Jong-Chan;Lee, Won-Young
    • Journal of IKEEE
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    • v.20 no.3
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    • pp.235-240
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    • 2016
  • In this study, we use the data collected from Twitter, as an SNS(Social Networking Service), for service innovation. This data was collected and processed by Flume. The data set in May 2016 was 4,766 and 15,543 from company S and company X, respectively. We were able to figure out the emotional atmosphere of the two companies through the sentiment analysis(SA) and to find out about the vertical relationship through the bibliometric analysis(BA). Furthermore, we were able to grasp the horizontal relationship through the social network analysis(SNA). It was concluded that SNS was worth while to derive an innovative item.

Application of Building Information Modeling (BIM) for the Activation of Industrialized Wooden Buildings - Focused on the Proposal of Reduction Strategies for Inhibiting Factors of the Spread of New Hanok through Social Network Analysis - (공업화 목조 건축 활성화를 위한 건물정보모델링(BIM) 적용방안 - 사회 네트워크 분석을 통한 신한옥 보급 저해요인 감축 전략 제안을 중심으로 -)

  • Park, Woo Jang;Park, Joon Young;Jeong, Sang Kyu
    • KIEAE Journal
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    • v.17 no.3
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    • pp.113-118
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    • 2017
  • Purpose: This study amis at proposing strategies on the basis of BIM techniques to promote the spread of industrialized wooden buildings for implementation of sustainable architecture. Method: We employed social network analysis (SNA) technique to identify the mutual influences among factors that hinder popularization of new Hanok as the industrialized wooden building. Four strategies were established to reduce the factors with serious influences on each category and stakeholder using BIM techniques. Result: it was demonstrated that the problems occurred in spreading new Hanoks can be reduced by changing the influence structure of social network according to the proposed strategies.

A Study on the Impact of Liner Shipping Network Characteristics to the World Regional Major Port performance (세계 주요지역 항만의 네트워크 특성이 성과에 미치는 영향에 관한 연구)

  • Kang, Dongjoon
    • Journal of Korea Port Economic Association
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    • v.31 no.4
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    • pp.189-207
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    • 2015
  • The purpose of this study is to examine the relationship between the network characteristics of ports and their performance that is represented by port competitiveness for the port operators. The study employs Social Network Analysis (SNA) to evaluate network characteristics comprising four centrality indices. For this research, data from Containerization International Yearbooks for 2006-2011 is used to analyze the service networks of 20 major liner shipping companies. In SNA, nodes (vertices) in the network are the ports and links (edges) in the network are connections realized by vessel movements, such that the liner shipping network determines the port network. In addition, panel regression analysis has been employed to investigate the relationship between port network characteristics and their performance. The results suggest that the four centrality indices identify the roles of the world's major ports from 2006 to 2011 and that port performance is determined not only by macroeconomic variables and service capabilities but also by the eigenvector centrality of ports in networks.

The Artistic Practical Use of Social Network Visualization through the Information Aesthetic Interpretation (정보미학적 해석을 통한 소셜네트워크 시각화의 예술적 활용)

  • Bang, Seungae;Yoon, Joonsung
    • The Journal of the Korea Contents Association
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    • v.13 no.7
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    • pp.16-23
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    • 2013
  • This paper analyzes the artistic practical use of social network visualization through the aesthetic information interpretation. The first social network visualization has emerged as 'Sociogram' in the form of social network analysis(SNA). Since social network has complex, the analyzing technology of social network has emerged. Early social network visualization has a practical purpose to measure the social structure, but current social network visualization divided into various forms from artistic expressions through information. This paper divide into two categories based on the artistic application of social network visualization. First, this research focuses on the static graph based on analog. Second, this research analyze the category of interacted visualization to generate a real-time digital image. This paper presents the fusion of paradigm between engineering and art through this way.

A Study on the e-Learning Communities Interaction Under the CSCL by Using Network Mining (컴퓨터지원협동학습 환경 하에서 네트워크 마이닝을 통한 학습자 상호작용연구)

  • Chung, Nam-Ho
    • Journal of Intelligence and Information Systems
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    • v.11 no.2
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    • pp.17-29
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    • 2005
  • The purpose of the study was to explore the potential of the Social Network Analysis as an analytical tool for scientific investigation of learner-learner, or learner-tutor interaction within a Computer Supported Corporative Learning (CSCL) environment. Theoretical and methodological implication of the Social Network Analysis had been discussed. Following theoretical analysis, an exploratory empirical study was conducted to test statistical correlation between traditional performance measures such as achievement and team contribution index, and the centrality measure, one of the many quantitative measures the Social Network Analysis provides. Results indicate the centrality measure was correlated with the higher order teaming performance and the peer-evaluated contribution indices. An interpretation of the results and their implication to instructional design theory and practices were provided along with some suggestions for future research.

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A Study on the Development of a Simulator for Social Networks in Organizations Using Arena (Arena를 이용한 조직에서의 사회연결망 시뮬레이터 개발에 관한 연구)

  • Choi, Seong-Hoon
    • Journal of the Society of Korea Industrial and Systems Engineering
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    • v.35 no.3
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    • pp.62-69
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    • 2012
  • This thesis proposes a new social network simulator, which can be used for the social network analysis (SNA). It is composed of three modules; initialization, network evolution, and output generation. For the network evolution module, we suggest a modified JGN (MJGN) based on JGN, the network evolution model developed by Jin, Girvan, and Newman. Arena, one of the most popular simulation tools, was used to model the agent based social network simulator. Lastly, some test results were presented to show the value of the proposed simulator when one performs SNA at the longitudinal point of view.

컴퓨터지원협동학습(CSCL) 환경 하에서 사회연결망분석(SNA)을 이용한 학습자 상호작용연구

  • 정남호
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • pp.361-368
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    • 2004
  • The purpose of the study was to explore the potential of the Social Network Analysis as an analytical tool for scientific investigation of learner-learner, or learner-tutor interaction within an Computer Supported Corporative Learning (CSCL) environment. Theoretical and methodological implication of the Social Network Analysis had been discussed. Following theoretical analysis, an exploratory empirical study was conducted to test statistical correlation between traditional performance measures such as achievement and team contribution index, and the centrality measure, one of the many quantitative measures the Social Network Analysis provides. Results indicate the centrality measure was correlated with the higher order learning performance and the peer-evaluated contribution indices. An interpretation of the results and their implication to instructional design theory and practices were provided along with some suggestions for future research.

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