• Title/Summary/Keyword: 개인적 연결망

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North Korean Defectors' Adaptation to South Korean Society: Their Emotional States, Social Media Use, and Life Satisfaction (북한이탈주민의 사회적응: 정서적 상태, 소셜 미디어 이용 그리고 남한생활 만족도)

  • Min, Hee
    • Informatization Policy
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    • v.25 no.2
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    • pp.67-83
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    • 2018
  • This study explores how social media influences individual's social development and well-being. Social media is discussed as an effective tool when individuals lacking social and psychological resources are trying to expand their social networks. This study focuses on the social media use of North Korean defectors, who, in general, have closed social media networks in the South Korean society. This study tries to analyze empirically the effect of social media use on North Korean defectors' satisfaction with our society. In particular, this study focuses on how the use of social media influences satisfaction with their life in South Korea at different levels of their emotional states. This study explores that the relationship between social media and satisfaction with their life in South Korea varies based upon the degree of self-esteem and anxiety. This study expects that social media might provide greater benefits for those who are experiencing low self-esteem and high anxiety. In addition, this study conducts the same analysis for the general public and then compares its results with the survey on North Korean defectors. According to the results of North Korean defectors' survey, the impact of social media use on satisfaction with their life in South Korea was greater for those with high anxiety than for those with low anxiety. Meanwhile, the impact was greater for those with high self-esteem than for those with low self-esteem.

Interpersonal and Community Factors Related to Food Sufficiency and Variety: Analysis of Data from the 2017 Community Health Survey (식품충분성과 다양성의 개인간 및 지역사회 관련 요인: 2017년 지역사회건강조사 자료 분석)

  • Hong, Jiyoun;Hyun, Taisun
    • Korean Journal of Community Nutrition
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    • v.25 no.5
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    • pp.416-429
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    • 2020
  • Objectives: This study examined the personal, interpersonal and community factors related to food sufficiency and variety among Korean adults using data from the 2017 Community Health Survey. Methods: A total of 228,310 adults aged ≥ 19 years were classified into three groups: food sufficiency with variety, food sufficiency without variety and food insufficiency. Personal factors included sociodemographic characteristics, health behavior and health status. Interpersonal factors included social networking and social activities, and community factors included safety, natural environment, living environment, availability of public transportation and health care services. The association of food sufficiency and variety with interpersonal and community factors was assessed using multivariable logistic regression analyses. Results: Of the total sample, the food-sufficiency-without-variety group and food insufficiency group accounted for 31.5% and 3.2%, respectively. The sociodemographic factors associated with food insufficiency and non-variety were women, ≥ 65 years of age, with low education level, low household income, unemployed, single, and living in areas of small population sizes. There were significant differences in health behavior and health status, interpersonal and community factors among the three groups. Multivariable logistic regression analyses conducted after adjusting for confounding factors showed that lack of social networking and social activities and lower satisfaction derived from community environments were associated with the risk of food insufficiency and non-variety. Conclusions: Our results showed that interpersonal and community factors as well as personal factors were related to food sufficiency and variety. Therefore, public policies to help build social networks and participation in social activities, and improve community environment are needed together with food assistance to overcome the problems of food insufficiency and non-variety.

An Empirical Study on the Participatory Use of K-Pop Video Contents (케이팝 콘텐츠의 참여적 이용에 관한 연구 : 유튜브 콘텐츠 관계망분석(SNA)을 중심으로)

  • Kim, H. Jin;Ahn, Minho
    • The Journal of the Korea Contents Association
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    • v.19 no.12
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    • pp.28-37
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    • 2019
  • It is apparently clear that K-pop has been expanding its influence overseas, with its high growth rate. As a result, attempts have been made to analyze the characteristics of K-Pop in various academic fields. This research quantitatively used the participatory use process of K-Pop contents in voluntary participation and dissemination of the audience in the Trans-Media environment. The author examined the use of participatory K-Pop contents from the view point of reparability through big data content analysis. It has been revealed that K-Pop is spreading globally through social media, fans of various countries like to play K-Pop, and they make up their own content and form a participatory culture. In addition, we looked at when the moments of momentum in which participatory use is soaring were popular content and who was the publisher.

A Study on the Recognition of Population Problems of Male and Female Students using Text-mining: To Drive the Implications of Population Education (텍스트마이닝기법을 활용한 남녀 학생의 인구문제에 관한 인식 분석: 인구교육의 시사점 도출을 위하여)

  • Wang, Seok-Soon;Shim, Joon-Young
    • Journal of Korean Home Economics Education Association
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    • v.31 no.3
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    • pp.73-90
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    • 2019
  • The purpose of this study was to explore the differences in perceptions of male and female students about population problems and to draw up implications for population education. Using text mining, the report about population problem, which had written by students in population education class, were analysed. After extracting key words, semantic networks were visualized. The results were as follows. First, the high frequency words were the same for each gender. Second, key words based on frequency did not differ depending on gender. And the key words extracted by the correlation analysis and bigram were different. That is, in the semantic network of girls' words, the network of "life"-"marriage"-"birth"-"pregnancy" appeared independently, distinguishing it from male students who showed separate objective links to population problems. Therefore, it drew suggestions that male and female students should be viewed as heterogeneous groups with different cognitive structures on population problems and that the content and methods of population education should be approached differently depending on gender.

Analysis of Information Education Related Theses Using R Program (R을 활용한 정보교육관련 논문 분석)

  • Park, SunJu
    • Journal of The Korean Association of Information Education
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    • v.21 no.1
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    • pp.57-66
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    • 2017
  • Lately, academic interests in big data analysis and social network has been prominently raised. Various academic fields are involved in this social network based research trend, which is, social network has been actively used as the research topic in social science field as well as in natural science field. Accordingly, this paper focuses on the text analysis and the following social network analysis with the Master's and Doctor's dissertations. The result indicates that certain words had a high frequency throughout the entire period and some words had fluctuating frequencies in different period. In detail, the words with a high frequency had a higher betweenness centrality and each period seems to have a distinctive research flow. Therefore, it was found that the subjects of the Master's and Doctor's dissertations were changed sensitively to the development of IT technology and changes in information curriculum of elementary, middle and high school. It is predicted that researches related to smart, mobile, smartphone, SNS, application, storytelling, multicultural, and STEAM, which had an increased frequency in period 4, would be continuously conducted. Moreover, the topics of robots, programming, coding, algorithms, creativity, interaction, and privacy will also be studied steadily.

A Study on the Relation between Degree and Physical & Mental Health of Old People in Interpersonal Relationship Network (대인관계 네트워크에서 연결정도와 노인의 신체적 건강 및 정신적 건강과의 관련성 연구)

  • Chae, In-Hwa;Choi, Sung-Won
    • 한국노년학
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    • v.37 no.2
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    • pp.329-347
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    • 2017
  • The purpose of this study is to see if we can predict the health of seniors of community by analyzing the connection between social network degree and mental and physical health of old people who live in the areas of Gangwha Island. The subjects of the study were men and women aged 65 or over, a total of 643 that resided in Ganghwa A-county. The survey was conducted on Korean Social Life, Health and Aging Project from the year 2011 to 2012. Regression analysis was carried out using the data. The analysis results were as follows. First, it showed the relationships between income, gender, age out of demographic variables used as control variable and old persons'physical health. The research results showed that physical health was better in case of the higher incomes, men, and lower age. Second, out of demographic variables, educational background, income, age was shown to correlate with mental health. The research results showed that mental health was better in case of the higher incomes, higher educational background, and lower age. Third, in social network including direction, both out-degree and in-degree were shown to predict old people's physical and mental health. The results of this study suggest that not only out-degree but also in-degree should be considered in predicting the health of elderly persons by a person's human relationship. Also, two indicators of degree are meaningful in the dimension of health promotion and welfare of the old in that they can be used for finding isolated individuals that can be physically and mentally vulnerable.

Emotion Prediction from Natural Language Documents ith Emotion Network (감정망을 활용한 자연언어 문서 상의 감정예측)

  • Min, Hye-Jin;Park, Jong-C.
    • Annual Conference on Human and Language Technology
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    • 2004.10d
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    • pp.191-199
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    • 2004
  • 본 논문에서는 텍스트에 나타난 감정상태를 인지하는 모델을 제안하고, 이러한 모델을 활용하여 현재문장에서 나타난 감정 및 이후에 나타나게 될 감정상태들을 예측하는 시스템에 대하여 다룬다. 사용자의 감정을 인지하고 이에 대한 자연스러운 메시지, 행동 등을 통해 인간과 상호작용 할 수 있는 컴퓨터시스템을 구현하기 위해서는 현재의 감정상태뿐만 아니라 사용자 개개인의 정보 및 시스템과 상호작용하고 있는 상황의 정보 등을 통해 이후에 사용자가 느낄 수 있는 감정을 예측할 수 있는 감정모델이 요구된다. 본 논문에서는 파악된 이전의 감정상태 및 실제 감정과 표현된 감정간의 관계, 그리고 감정에 영향을 미친 주변대상의 특징 및 감정경험자의 목표와 행동이 반영된 상태-전이형태의 감정모델인 감정망(Emotion Network)을 제안한다. 감정망은 각 감정을 나타내는 상태(state)와 연결된 상태들 간의 전이(transition), 그리고 전이가 발생하기 위한 조건(condition)으로 구성된다. 본 논문에서는 텍스트 형태의 상담예시에 감정망을 활용하여 문헌의 감정어휘에 의해 직접적으로 표출되지 않는 감정을 예측할 수 있음을 보인다.

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A Study on the Security Enhancement for Personal Healthcare Information of CloudHIS (CloudHIS의 개인 의료정보를 위한 보안강화에 관한 연구)

  • Cho, Young-Sung;Chung, Ji-Moon;Na, Won-Shik
    • Journal of Convergence for Information Technology
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    • v.9 no.9
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    • pp.27-32
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    • 2019
  • Along with the growth of u-Healthcare, we propose a security enhancement based on network separation for CloudHIS with for handling healthcare information to cope with cyber attack. To protect against all security threats and to establish clear data security policies, we apply desktop computing servers to cloud computing services for CloudHIS. Use two PCs with a hypervisor architecture to apply physical network isolation and select the network using KVM switched controller. The other is a logical network separation using one PC with two OSs, but the network is divided through virtualization. Physical network separation is the physical connection of a PC to each network to block the access path from both the Internet and the business network. The proposed system is an independent desktop used to access an intranet or the Internet through server virtualization technology on a user's physical desktop computer. We can implement an adaptive solution to prevent hacking by configuring the CloudHIS, a cloud system that handles medical hospital information, through network separation for handling security enhancement.

Analyzing the relationship between employee characteristics and performance in call center organizations: integration of social network analysis and repertory grid technique (조직 내 사회적 특성과 개인적 특성이 콜센터 업무 성과에 미치는 영향 분석: 사회연결망과 RGT를 중심으로 한 A사 사례 연구)

  • Kim, Jongmyoung;Geum, Youngjung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.5
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    • pp.466-475
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    • 2020
  • Current performance evaluation of call center employees is dependent on the number of calls they have resolved, regardless of the individual and social characteristics of employees. However, since call center tasks are highly customer-oriented and emotional laborious, individual capability as well as social characteristics of employees is critical to performance. Therefore, this study analyzed the relationship between employees' individual/social characteristics and their performance. To extract individual characteristics, a repertory grid technique was employed, whereas social network analysis was conducted to extract the social characteristics of employees. Using individual and social characteristics as input variables, multiple regression was conducted to analyze the effect of each variable on performance. As a result, in-degree centrality of dining network, initiative characteristics, open characteristics, and enjoyment of studying were determined to be important variables for performance. This study is expected to be used in both performance management and human resource management of call center practices.

Construction of Answer Sets using Automatic Categorization (자동분류를 이용한 정답문서집합 구축)

  • Chang, Moon-Soo;Oh, Hyo-Jung;Jang, Myung-Gil
    • Annual Conference on Human and Language Technology
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    • 2001.10d
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    • pp.494-499
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    • 2001
  • 최근의 인터넷 정보검색은 방대한 정보의 수용과 지능적이고 개인화된 검색 결과 요구라는 사뭇 상반된 요구를 만족시켜야 한다. 기계적으로 키워드를 매칭시켜 나오는 문서를 사용자에게 맡기는 식의 검색은 더 이상 환영을 받지 못한다. 우리는 이러한 추세에 맞추어 의미기반 정보검색에 필요한 개념망과 정답문서집합으로 구성된 지식베이스를 제안한 바 있다. 본 논문에서는 방대한 구조의 개념망과 연결되는 정답문서집합을 유동적인 인터넷 환경에 적용하기 위해 자동으로 구축하는 시스템을 제시한다. 자동구축은 문서분류(document categorization) 기술을 활용하여 개념어에 문서를 할당하는 방법과 속성에 문서를 할당하는 방법으로 나누어 이루어진다. 제시한 방법은 실험을 통하여 기본적인 속성 할당에는 상당한 효과가 있는 것으로 판단되었고, 일부 미할당 문서에 대해서는 클러스터링과 같은 다른 알고리즘이 필요하다.

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