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

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A Study on Providing Relative Keyword using The Social Network Analysis Technique in Academic Database (학술DB에서 SNA(Social Network Analysis) 기법을 이용한 연관검색어 제공방안 연구)

  • Kim, Kyoung-Yong;Seo, Jung-Yun;Seon, Choong-Nyoung
    • Annual Conference on Human and Language Technology
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    • 2011.10a
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    • pp.79-82
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    • 2011
  • 본 논문은 다양한 주제 분야의 연구 성과물을 제공하는 학술DB에서 주제어(Keyword) 정보를 바탕으로 SNA(Social Network Analysis)기법을 적용해 검색어와 연관도가 높은 연관검색어를 제공하는 것을 그 목적으로 한다. 이를 위해 주제어들 간의 가중치(Weight)를 계산한 뒤 Ego Network 분석을 통해 검색어와 연관된 연관주제어를 추출하고 이를 기존 학술DB에서 제공한 연관검색어와 비교 정리하였다. 그리고 정리된 결과를 연관규칙 마이닝기법, 유사계수를 적용해 연관도측면에서 비교 평가하였다.

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A Framework for implementing Knowledge Network using Social Network Analysis

  • Hwang, Hyun-Seok;Kim, Su-Yeon
    • Proceedings of the Korea Society of Information Technology Applications Conference
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    • 2005.11a
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    • pp.139-142
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    • 2005
  • Recently research interest in Knowledge Management (KM) has grown rapidly. Companies regard intellectual capital as important asset and strive to deploy KM in an organization to gain a competitive edge. Many organizations currently engage in knowledge management in order to leverage knowledge both within their organization and externally to their shareholders and customers. Most of the previous research related to KM are dedicated to investigate the role of information technology in extracting, capturing, sharing, coverting organizational knowledge. Knowledge workers, however, are paid less attention though they are the key players in KM activities such as knowledge creation, dissemination, capture and conversion. We regard knowledge workers as a major component of KM and starting point of understanding organizational knowledge activities. Therefore we adopt a method to understand and analyze knowldge workers' social relationships. In this paper we investigate Social Network Analysis (SNA) as a tool for analyzing knowledge network. We introduce the basic concept of SNA and suggest a framework for implementing knowledge network by explaining how SNA can be used for analyzing knowledge network. We also propose a numerical method for identifying knowledge workers using SNA after classifying knowledge workers. The suggested method is expected to help understanding key knowledge players within an organization.

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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.

Delivery Service Demand Analysis Using Social Network Analysis (SNA) (소셜 네트워크 분석(SNA)을 활용한 택배 서비스 수요 분석)

  • Kyungeun Oh;Sulim Kim;HanByeol Stella Choi;Heeseok Lee
    • Information Systems Review
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    • v.24 no.4
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    • pp.1-22
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    • 2022
  • The transition to a non-face-to-face consumer society has rapidly occurred since Covid-19. The need for a subdivided urban logistics policy centered on courier delivery, a life-friendly last-mile logistics service, has been raised. This study proposes a SNS-based method that can analyze the demand relationship by region and product, respectively. We extend the market basket network (MBN) and co-purchased product network (CPN), find product category patterns, and confirm regional differences by using delivery order data. Our results imply that SNA analysis can be effectively applied to inventory distribution or product (SKU) selection strategies in urban logistics.

Countermeasure strategy for the international crime and terrorism by use of SNA and Big data analysis (소셜네트워크분석(SNA)과 빅데이터 분석을 통한 국제범죄와 테러리즘 대응전략)

  • Chung, Tae Jin
    • Convergence Security Journal
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    • v.16 no.2
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    • pp.25-34
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    • 2016
  • This study aims to prevent the serious threat from dangerous person or group by responding or blocking or separating illegal activities by use of SNA: Social Network Analysis. SNA enables to identify the complex social relation of suspect and individuals in order to enhance the effectiveness and efficiency of investigation. SNS has rapidly developed and expanded without restriction of physical distance and geo-location for making new relation among people and sharing large amount of information. As rise of SNS(facebook and twitter) related crimes, terrorist group 'ISIS' has used their website for promotion of their activity and recruitment. The use of SNS costs relatively lower than other methods to achieve their goals so it has been widely used by terrorist groups. Since it has a significant ripple effect, it is imperative to stop their activity. Therefore, this study precisely describes criminal and terrorist activities on SNS and demonstrates how effectively detect, block and respond against their activities. Further study is also suggested.

Comparison between Social Network Based Rank Discrimination Techniques of Data Envelopment Analysis: Beyond the Limitations (사회 연결망 분석 기반 자료포락분석 순위 결정 기법간 비교와 한계 극복 방안에 대한 연구)

  • Hee Jay Kang
    • Journal of Information Technology Services
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    • v.22 no.1
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    • pp.57-74
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    • 2023
  • It has been pointed out as a limitation that the rank of some efficient DMUs(decision making units) cannot be discriminated due to the relativity nature of efficiency measured by DEA(data envelopment analysis), comparing the production structure. Recently, to solve this problem, a DEA-SNA(social network analysis) model that combines SNA techniques with data envelopment analysis has been studied intensively. Several models have been proposed using techniques such as eigenvector centrality, pagerank centrality, and hypertext induced topic selection(HITS) algorithm, but DMUs that cannot be ranked still remain. Moreover, in the process of extracting latent information within the DMU group to build effective network, a problem that violates the basic assumptions of the DEA also arises. This study is meaningful in finding the cause of the limitations by comparing and analyzing the characteristics of the DEA-SNA model proposed so far, and based on this, suggesting the direction and possibility to develop more advanced model. Through the results of this study, it will be enable to further expand the field of research related to DEA.

A Study on Applying Social Network Centrality Metrics to the Ownership Networks of Large Business Groups (사회네트워크 중심성 지표를 이용한 기업집단 소유네트워크 분석)

  • Park, Chan-Kyoo
    • Korean Management Science Review
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    • v.32 no.2
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    • pp.15-35
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    • 2015
  • Large business groups typically have central firms through which their controlling families establish (or acquire) new firms and maintain control over other member firms. Research on corporate governance has developed metrics to identify those central firms and investigated an impact of the centrality on ownership structure and firm's financial performance. This paper introduces centrality metrics used in social network analysis (SNA) to measure how crucial a role each firm plays in the ownership structure of its business group. Then, the SNA centrality metrics are compared with the metrics developed in corporate governance field. Also, we test the relationship between the SNA centrality metrics and firm's value. Experimental results show that the SNA centrality metrics are closely correlated with the centrality metrics used in corporate governance and are significantly correlated with firm's value.

A Proposal of Combat Power Measurement Model of Army Warfare Information System Using Network Power based on Social Network Analysis (SNA 기반 네트워크 파워를 이용한 지상전장정보체계 전투력 효과측정 모델제안)

  • Jung, Chi-Young;Lee, Jae-Yeong
    • Journal of the Korean Operations Research and Management Science Society
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    • v.36 no.4
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    • pp.1-16
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    • 2011
  • It is important not only to introduce the C4I(Command and Control, Communication, Computer, Intelligence) system for realizing the NCW(Network Centric Warfare) but also to evaluate the synergistic effect by the C4I system. However, the study effort for evaluating the system's synergistic effect is insufficient compared with introducing the system. Therefore, in this paper, we proposed a model that measures the synergistic effect of combat power by the warfare information system. To measure the synergistic effect of warfare information system, the network power must be considered, so we also proposed a new methodology for measurement of network power based on SNA(Social Network Analysis), not Metcalfe's law. A model we proposed is a model that measures the raised combat power by the network effectiveness. The methodology and model we proposed in this paper will be used usefully to analyze the practical effect of constructing future warfare information system.

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 Korean Society of 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.

A reviews on the social network analysis using R (R을 이용한 사회연결망 분석에 대한 고찰)

  • Choi, Kyoungho;Yoo, Jin Ah
    • Journal of the Korea Convergence Society
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    • v.6 no.1
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    • pp.77-83
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    • 2015
  • Though the SNA (social network analysis ; SNA) has been used for various fields, esp. social science field, ig. politics, journalism, and science of public administration as well as natural science field, there are few studies about the introduction of analysis tools. In order to perform the SNA, collecting data which are fit for the purpose, statistical values deduction and visualized results made by analysis tool are necessary, but the studies, which explain them systematically, are not sufficient yet. So, in this study, we are intended to introduce the analytic process, from the data input to the interpretation, with proven data. using the R program, which is free, in order to help researchers who have any plan to study using the SNA. The proven data in this study are quoted ones in the domestic scientific journals of food, which are those supplied citation index DB of Korean scientific journals. As a study methodology, the SNA is a new paradigm to substitute existing research methods as well as a complement of statistical analysis. Therefore, this study would contribute to vitalization of the SNA.