• 제목/요약/키워드: Social Network Data

검색결과 1,830건 처리시간 0.03초

Social Network Effects on Post-Traumatic Stress Disorder (PTSD) in Female North Korean Immigrants

  • Lee, Byung-Kyu;Youm, Yoo-Sik
    • Journal of Preventive Medicine and Public Health
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    • 제44권5호
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    • pp.191-200
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    • 2011
  • Objectives: The goal of this paper is to examine the social network effects on post-traumatic sdress disorder (PTSD) in female North Korean immigrants who entered South Korea in 2007. Specifically, it attempts to verify if the density and composition of networks make a difference after controlling for the network size. Methods: A multivariate logistic regression is used to probe the effects of social networks using the North Korean Immigrant Panel data set. Because the data set had only completed its initial survey when this paper was written, the analysis was cross-sectional. Results: The size of the support networks was systematically related to PTSD. Female North Korean immigrants with more supporting ties were less likely to develop PTSD, even after controlling for other risk factors (odds-ratio for one more tie was 0.8). However, once we control for the size of the network, neither the density nor the composition of the networks remains statistically significant. Conclusions: The prevalence of the PTSD among female North Korean immigrants is alarmingly high, and regardless of the characteristics of supporting network members, the size of the supporting networks provides substantial protection. This implies that a simple strategy that focuses on increasing the number of supporting ties will be effective among North Korean immigrants who entered South Korea in recent years.

사회연결망분석을 이용한 대기업집단 내부거래와 효율성의 상관분석 (Correlation Analysis between Internal Transactions and Efficiency of Chaebol Affiliates Using Social Network Analysis)

  • 나기주;조남욱
    • 한국IT서비스학회지
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    • 제14권3호
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    • pp.49-65
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    • 2015
  • As South Korean large business groups, also known as Chaebol, have broadened their influence in the domestic economy, it is important to analyze the influence of internal transactions among Chaebol affiliates on their performance. In this paper, relationship between internal transactions and efficiency of Chaebol affiliates has been analyzed. Top five Chaebol groups in South Korea are selected; they include Samsung, Hyundai Motors, LG, SK, and Lotte group. Based on internal transactions among affiliates, social networks are constructed for each Chaebol group to analyze centrality, network structures and cliques. Data Envelopment Analysis (DEA) was conducted to examine the efficiency of the Chaebol affiliates. Then, correlations between the degree centrality and the efficiency of Chaebol affiliates were analyzed, and the network structures of Chaebol groups are presented. The result shows that positive correlations between degree centrality and efficiency are observed among four Chaebol Groups. This paper shows that the Social Network Analysis (SNA) techniques can be used in the empirical research for the analysis of internal transactions of Chaebol groups.

Finding Naval Ship Maintenance Expertise Through Text Mining and SNA

  • Kim, Jin-Gwang;Yoon, Soung-woong;Lee, Sang-Hoon
    • 한국컴퓨터정보학회논문지
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    • 제24권7호
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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.

A Social Network Analysis on the Common Initiative for the Electronic Government Law: Focusing on the Ruling Party and Seniority Effect

  • Lee, Hun-Hee;Han, Sang-Ik
    • 한국컴퓨터정보학회논문지
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    • 제24권6호
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    • pp.125-133
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    • 2019
  • This study aimed to investigate the political system related to the Electronic Government Law by analyzing the process of the common initiative of the law. To achieve the goal, this study applied the method of social analysis and sugessted the proper role of the assembly for realizing the electronic government and its control. The data were gathered from the bill information service of the national assembly. Netminer 4.0 was used for refining and analyzing data. The results are as follows. First, by analyzing three centrality(degree, betweenness, and eigenvector) of assembly member, the network effect of the powered party and reelected members were revealed as strong in the network. Second, through the component analysis, 5 sub-network has shown in total. The sub-networks showed two distinctive difference between two big parties. By the difference, members in two parties showed different characteristics in constituting communities and the effect of the powered party revealed as strong and clear. Based on the result, this study demonstrated the necessity of social solidarity rather than solipsism in committing common initiative. And a chronological research is need to anlayze $18^{th}$ and $19^{th}$ assembly to verify the effect of the powered party in prospect study.

사회네트워크분석을 통한 축구경기 분석 (Social network analysis for a soccer game)

  • 최승배;강창완;최형준;강병욱
    • Journal of the Korean Data and Information Science Society
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    • 제22권6호
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    • pp.1053-1063
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    • 2011
  • 사회네트워크분석은 개체들 간의 상호 정보 흐름인 사회적 구조에 대한 사회과학적 통계학적 분석이다. 본 연구에서는 한 축구경기에 대해서 사회네트워크분석을 이용하여 축구선수들 간의 패스 정보를 이용하여 (1) 어떤 선수가 팀에서 리더로서 얼마만큼 역할을 했으며, (2) 패스를 많이 해 준 선수 또는 패스를 많이 받은 선수들이 누구인지를 알아내어 경기에서 중요한 역할을 한 선수들을 탐지한다. 본 연구의 목적은 팀 내에서 각 선수들의 역할에 대한 수행 실태를 평가하고, 향후 경기에서 팀의 경기 전략을 수립하는데 기초자료로 활용하는데 있다. 본 연구에서는 먼저 포지션을 구분함이 없이 사회네트워크분석을 실시하였고, 각 포지션별 (수비수와 비 수비수)로 각각 사회네트워크분석을 수행하였다. 본 연구에 대한 분석 결과는 다음과 같다. 첫째, 전체데이터를 이용하였을 때, 리더의 역할을 수행한 선수들은 이청용, 김정우, 기성용 선수이고, 서브리더는 이정수 선수였음을 알 수 있었다. 그리고 포지션별로는 수비수의 경우 리더의 역할을 수행한 선수는 이정수 선수임을 알 수 있었다. 비 수비수 (미드필더와 공격수)의 경우에는 각 선수들이 부여된 포지션에서 최선을 다하였기 때문에 누구를 리더와 서브리더라고 할 것 없이 모두 훌륭한 경기를 소화하였다고 평가할 수 있다.

모바일 소셜 네트워크 서비스를 위한 사용자 컨텍스트의 확률추론 (Probabilistic Inference of User's Context for Mobile Social Network Services)

  • 민준기;장수형;조성배
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제16권3호
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    • pp.361-365
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    • 2010
  • 소셜 네트워크는 관심사가 유사한 사람을 찾거나 정보를 교환하는 주요한 수단으로 최근 각광받고 있다. 특히 페이스북(Facebook) 이나 싸이월드 등과 같이 인터넷상에서 제공되던 소셜 네트워크 서비스는 이제 휴대폰 영역으로 확장되고 있다. 휴대폰은 개인이 향상 소유하고 다니기 때문에 개인정보의 취득이 쉬우며, 센서 기술의 발달로 다양한 종류의 데이터를 함께 수집할 수 있다. 따라서 이를 모바일 소셜 네트워크 서비스에 활용하면 기존의 인터넷기반 소셜 네트워크 서비스와의 차별화를 이룰 수 있다. 이를 위해 본 논문에서는 확률추론 모델인 베이지안 네트워크를 이용하여 사용자와 주변 사람들간의 친밀도나 관계 등의 모바일 소셜 컨텍스투를 추출하는 방법을 제안한다. 이는 모바일 소셜 네트워크 서비스에 중요한 정보로 활용 가능하며, 본 논문에서는 실제 수집한 데이터를 기반으로 그 가능성을 검증하였다.

SNS에서 대인신뢰의 영향요인 : 트위터 사용자 경우 (Antecedents of Interpersonal Trust in SNS : In Case of Twitter Users)

  • 우관란;송희석
    • Journal of Information Technology Applications and Management
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    • 제19권2호
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    • pp.197-215
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    • 2012
  • SNS has been recognized as a means of expanding social capital by promoting interaction and efficient communication among users. On the other hand, there are serious concerns on negative side of social network which is often called epidemics. Trust plays a critical role in controlling the spread of distorted information and vicious rumor as well as reducing uncertainties and risk from unreliable users in social network. This study focuses on what the antecedents of interpersonal trust are in social network. We performed online survey from 252 Twitter users and tested candidate antecedents which are chosen from previous literature. As a result, propensity to trust of trustor, ability and sincerity of trustee, intimacy between trustor and trustee significantly affected to the interpersonal trust in Twitter.

The Influence of Virtuality on Social Network: A Multi-level Approach

  • Suh, A-Young;Shin, Kyung-Shik;Kim, Min-Soo
    • 한국경영정보학회:학술대회논문집
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    • 한국경영정보학회 2008년도 춘계학술대회
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    • pp.52-63
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    • 2008
  • Virtuality is a product of the information age, and as it plays a larger role in the activities of individuals, groups and organizations, the issue of how human behavior varies between virtual and physical space has become one of the most important questions facing the management environment of today. The purpose of this article is to examine how virtuality shapes individuals' social relationships within and outside their work groups. We developed a conceptual framework that explores the links between virtuality and social network based on computer-mediated communication theory and social network theory. Using data from 172 individuals of 42 project teams in 5 global business consulting firms, we tested cross-level hypotheses. The results of hierarchical linear modeling (HLM) indicate that virtuality significantly influences individual's internal tie strength as well as external bridging ties. The results also show the effects of virtual process via CMC vary along with the virtual context.

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노숙자의 사회적 연계단절에 관한 연구 (A Study on the Social Disaffiliation of the Homeless)

  • 남기철
    • 한국사회복지학
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    • 제42권
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    • pp.199-224
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    • 2000
  • Homelessness became a major social problem in Korea. And the homeless presents many kinds of problems in social functioning. In studies on the homeless, Physical and mental health, alcohol and subtance abuse, the vulnerability of the social support have been frequently described as major characteristics of the homeless. Of the homeless' psychosocial characteristics, this article focused on the lack of the social support, which plays a important role on the exit from homelessness. The lack of social support has been mentioned as cause for homelessness. But a few researchers stressed the perspective that the homelessness causes the lack of social support. This article analyzed empirically the lack of social support among the homeless in terms of "social disaffiliation". This article hypothesized: (a) as longer homeless duration, the extent of the perceived social support would be decreased, (b) as longer homeless duration, the magnitude of the social network would be decreased, (c) as longer homeless duration, the ratio of the homeless in social network would be increased. Survey data collected from 355 homeless persons (sheltered homeless) at 82 shelters in Seoul. The result of analysis supports 'social disaffiliation hypotheses'. The result of this study suggests that the social work intervention to strengthen social support and social network be critically important in homeless shelter.

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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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    • 제7권6호
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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.