• Title/Summary/Keyword: 사회적 연결망

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Social Perception of Disaster Safety Education for Migrant Youth based on Big Data (빅데이터를 통해 바라본 이주배경청소년 재난안전교육에 대한 사회적 인식)

  • Ying Jin;Sang Jeong
    • Journal of the Society of Disaster Information
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    • v.20 no.2
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    • pp.462-469
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    • 2024
  • Purpose: This study aims to analyze data on disaster safety education for migrant youth and to examine the corresponding social perceptions. Method: Data on disaster safety education for migrant youth were collected and analyzed using Textom and Ucinet. The data used in the study were searched on portal websites from 2016 to 2023 using the keywords 'migrant youth+ disaster + safety education'. Result: The analysis results showed that 'education (306)' had the highest frequency, followed by 'safety (287)', 'school (97)', 'society (85)', and 'support (77)'. The keyword with the high degree of centrality, closeness centrality, and betweenness centrality were 'education', 'safety' and 'society'. 'Family' ranked higher in betweenness centrality than the rankings of frequency analysis, degree centrality and closeness centrality, indicating that 'family' plays a significant role as a mediator in the network of disaster safety education for migrant youth. Conclusion: By examining social awareness about disaster safety education for migrant youth, the findings will be used to develop policies and strategies for disaster safety education that consider the unique vulnerabilities of migrant youth in disaster situations.

A study on frame transition of personal information leakage, 1984-2014: social network analysis approach (사회연결망 분석을 활용한 개인정보 유출 프레임 변화에 관한 연구: 1984년-2014년을 중심으로)

  • Jeong, Seo Hwa;Cho, Hyun Suk
    • Journal of Digital Convergence
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    • v.12 no.5
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    • pp.57-68
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    • 2014
  • This article analyses frame transition of personal information leakage in Korea from 1984 to 2014. In order to investigate the transition, we have collected newspaper article's titles. This study adopts classification, text network analysis(by co-occurrence symmetric matrix), and clustering techniques as part of social network analysis. Moreover, we apply definition of centrality in network in order to reveal the main frame formed in each of four periods. As a result, accessibility of personal information is extended from public sector to private sector. The boundary of personal information leakage is expanded to overseas. Therefore it is urgent to institutionalize the protection of personal information from a global perspective.

A study on the effect of network characteristics in liner shipping alliance (네트워크 특성이 선사얼라이언스에 미치는 영향에 관한 연구)

  • Shin, Chang-Hoon;Lee, Ji-Hoon;Lee, Ji-Won
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2013.06a
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    • pp.86-87
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    • 2013
  • 해운 항만의 환경이 2000년대 들어서 10,000teu급의 대형 컨테이너선박이 집중 투입되면서 선박의 대형화와 고속화가 가속되고 있다. 이에 따라 전세계 해운시장의 업계들은 살아남기 위한 방안으로 M&A와 Alliance들을 선택하였다. 각각의 선사들은 주력하고 있는 항로들이 다르며 그에 따라 전략적인 제휴관계를 맺고 있다. 본 연구에서는 전 세계 해운 선사들의 Alliance 관계를 파악하고 그들의 사회연결망기법중의 하나인 Net-miner4를 활용하여 네트워크 구조에 대해서 깊이 있게 살펴보았다.

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The Amplifying Aspects of SNS Comments: An Exploratory Study through the Sentiment Comparison between News Site Comments and SNS Comments (SNS 댓글의 정보 증폭 양상에 대한 연구: 뉴스 사이트 댓글과 SNS 댓글의 센티멘트 차원 비교를 통한 탐색적 분석)

  • Jinyoung Min
    • Information Systems Review
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    • v.22 no.4
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    • pp.163-184
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    • 2020
  • The information on SNS, which is created by the forms of postings and comments, is being magnified and redistributed to news media expanding its impacts on real words. This amplifying effects of SNS comments have been increasingly discussed but there still lacks the answers for which dimensions of information is magnified, and what affects the direction and the degree of the amplification. This study, therefore, explores the detailed dimensions that are magnified by SNS comments and how SNS posting structure and social network characteristics affect them by using sentiment analysis. By analyzing 2,378 Facebook postings and news articles and their 26,312 SNS and 74,730 news site comments, this study shows that SNS comments magnify the sentiments of the posting articles they are attached to. In comparison to news site comments, SNS comments magnify the cognitive and social dimensions more than the news site comments. In the affective dimension, they tend to magnify only the positive emotion more than news site comments. Also, the findings reveal that whether the article in the posting is written by the posting owner affects the degree of amplification when the comments are remained positive or switched positive, while the opposite determines the amplification when comments remain negatively, suggesting that the user relationship in social network is the important factor that affects the direction and the degree of the information amplification in SNS.

A Study on China's SNS Opinion Leader through Social Data (소셜 데이터를 통한 중국의 여론 주도층에 관한 연구)

  • Zheng, Xuan;Lee, Jooyoup
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.9
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    • pp.59-70
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    • 2016
  • The rapid development of the Chinese version of Twitter, the groom Weibo has become an important communication means for Chinese SNS users to obtain and share information. As a result, in China, the phenomenon of the power shift has emerged from the traditional opinion leaders to SNS opinion leasers. The relationship analysis of demographic variables of the Chinese SNS users and their Information on the relationship between keywords was made by utilizing the centrality analysis using Social Network Program NetMiner. China's SNS opinion leaders have general interest in daily activities with their families or friends rather than in social issues. And in case of SNS opinion leaders of high betweenness centrality, it was analyzed that general users was a key mediator role that organically out lead to the adjacent information. These properties are not independent of demographic variables, such as professional, therefore, the demographic characteristics of SNS opinion leaders showed a significant effect on the parameters of betweenness centrality. This study analyzed the characteristics of SNS users, especially opinion leaders in China by looking at the aspects of Chinese social phenomenon in terms of information. Through this study, we expect to provide basic information about the social characteristics of China through collective communication.

Destination Image Analysis of Daegu Using Social Network Analysis: Social Media Big Data (사회연결망 분석을 활용한 대구의 관광지 이미지 분석: 온라인 빅데이터를 중심으로)

  • Seo, Jung-A;Oh, Ick Keun
    • The Journal of the Korea Contents Association
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    • v.17 no.7
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    • pp.443-454
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    • 2017
  • A positive destination image has an impact on the tourist arrivals and economic growth of the tourist destination. Recently, the content generated by sharing tourist experiences and destination information on the internet has been increasing. The online content has the potential to become a major tourist decision source and provide more in-depth materials and richer content to extract destination image, insight and tourist's perceptions of the destination. This study was designed to explore the destination image of Daegu online and draw lessons for successful image management in an era of big data. Text mining approach and social network analysis were conducted to extract destination image determining elements and assess the influence of the elements. The result showed that destination image elements related to tourist infra-structures and culture, history and art affected the overall destination image of Daegu. Destination marketers should make an effort to grasp these precise destination image and seek ways to boost competitiveness as a tourist destination.

A Social Network Analysis on the Research Trend of Korean Medicine (한의학 연구동향에 대한 사회연결망분석)

  • Kwon, Ki-Seok;Yi, Junhyeok;Lee, Juyeon;Chae, Sungwook;Han, Dong Seong
    • Journal of Korea Technology Innovation Society
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    • v.17 no.2
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    • pp.334-354
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    • 2014
  • This study aims to analyze the research trend of Korean medicine based on social network analysis. To do this, a dataset has been collected from KCI (Korea Citation Index) database. According to the results, we have identify the longitudinal trend of the number of papers, journals, organizations and key words in this field. Moreover, based on the nodes' centrality of co-author network, we have found a core journal (i.e. Korean Journal of Oriental Physiology and Pathology), a hub institution (i.e. Kyunghee university) and two main key words (i.e. anti-oxidation and acupuncture) in the research network. In conclusion, integrating field experts' tacit knowledge in Korean medicine studies with the results of the explicit social network analysis on the research trend, we put forward further policy implications with regard to R&D strategies in this field.

Credibility Enhancement of Online Reputation Systems for SNS Using Collaborative Filtering Method (협업필터링을 이용한 사회연결망서비스(SNS)용 온라인 평판시스템 신뢰도 향상에 관한 연구)

  • Cho, Jin-hyung;Kang, Hwan-Soo;Kim, Sea-Woo
    • Journal of Digital Convergence
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    • v.15 no.2
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    • pp.115-120
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    • 2017
  • Online reputation systems for social network services(SNS) aggregate users' feedback and estimate the reputation of contents or providers. The aim of this research is to enhance credibility of the online reputation system on the SNS based e-Commerce(we called it as social commerce). SNS users usually refer to evaluations from other users who bought the products before. Most social commerce sites provide reputation system to help their customer make a decision, but sometimes we can't believe the reputation because the reputation is too subjective and the seller can deceive the customer for sales promotion. Threrefore, we usually use just the average value to show the general customer's evaluation result. We applied collaborative filtering method to give more weighting to the users who have evaluated correctly in the past. As a result, we could get more accurate evaluation results by considering each customers' credibility value that was computed by collaborative filtering.

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.

Concept and Issues in Supply Chain Management for Plant Engineering Project (플랜트 엔지니어링 프로젝트의 공급망관리 : 개념과 이슈)

  • Cheong, Heung Gyo;Park, Seong-Taek;Kim, Tae Ung
    • Journal of Digital Convergence
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    • v.10 no.9
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    • pp.213-224
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    • 2012
  • Supply chain management for complex project focuses on planning acquisitions, identifying and choosing the right suppliers and subcontractors, planning and negotiating appropriate contracts, and administering and closing contracts. Working with suppliers and subcontractors requires continuous integration activities during project execution. This article examines the concept and issues concerning supply chain management in plant engineering Project, of which has not been taken seriously by industry. We propose the technological infra, social infra and information system connecting all participants in supply chain, as the major fields of research requiring industry attentions, and give a brief summary of research in each proposed areas.