• Title/Summary/Keyword: 사회적관계망

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Gender Difference in Elder Self-neglect in South Korea (노인 자기방임의 성별 차이)

  • Kwon, Eun Joo;Yun, Il;Kim, Soon Eun
    • 한국노년학
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    • v.38 no.3
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    • pp.627-643
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    • 2018
  • This study aims to analyze gender differences in the prevalence of and risk factors for self-neglect among the elderly in South Korea. In order to investigate the differences between male and female elderly group, we compared 793 elderly men and 1,089 women from the data "Research on the Healthy Aging and Well-being of the Elderly" conducted in 2018. First, t-test and ${\chi}^2$-test and multiple regression analysis identified that gender differences in the prevalence of elder self-neglect was not statistically significant. Second, There are differences in risk factors affecting self-neglect between genders. age and class(perception) are the factors only affecting men. Income(monthly), having-religion, living-alone, satisfaction with life, social network are the ones only affecting women. Third, the risk factors for both men and women are depression and social support(public support). It is notable that we verify the empirical evidence supporting the hypothesis that risk factors for elder self-neglect may exist differently according to gender. In particular, gender characteristics revealed in this study can be reasonably explained through exchange theory and feminist theory. Therefore, we emphasize that the policy approach should be done depending on the gender of the elderly, and that the social safety net more paying attention to the depression of the elderly should be strengthened.

Positive and Negative Influence of Social Network on Self Rated Health and its Gendered Pattern (사회적 관계망의 긍정적, 부정적 기능이 성별 주관적 건강에 미치는 영향)

  • Park, Su-San;Cho, Sung-Il;Jang, Soong-Nang
    • Korean Journal of Health Education and Promotion
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    • v.28 no.4
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    • pp.39-49
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    • 2011
  • Objectives: This study was to examine the association between structural and functional characteristics of social network and self-rated health in middle-aged Korea population. We also explored gender difference in the relationship between social network and health. Methods: Data were collected from individuals aged 40-69 years old participating in the 2005 survey for the Korean Genome & Epidemiology Study. We examined the association between social network, social support, social conflict and self-rated health using multiple logistic regression analysis stratified by gender. Results: The extent and contact frequency of close people, and social participations were associated by not only the positive function but also the negative function of social network. Both the positive and negative functions of social network affected self-rated health. The relationship between the function of social network and health showed a gender difference: only positive function was significantly associated with health in men while only negative function had significant relationship with health in women. Conclusions: Social support and social conflict affected the health in both genders through different ways. The ambivalent effect of social network on health should be explored further.

Prediction improvement of election polls by unstructured data analysis (비정형 데이터 분석을 통한 선거 여론조사 예측력 개선 방안 연구)

  • Park, Sunbin;Kim, Myung Joon
    • The Korean Journal of Applied Statistics
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    • v.31 no.5
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    • pp.655-665
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    • 2018
  • Social network services (SNS) have become the most common tool for the communication of public and private opinions as well as public issues; consequently, one may form or drive public opinions to advocate by spreading positive content using SNS. Controversy for survey data based opinion poll accuracy continues in relation to response rate or sampling methodology. This study suggests complementary measures that additionally consider the sentiment analysis results of unstructured data on a social network by data crawling and sentiment dictionary adjustment process. The suggested method shows the improvement of prediction accuracy by decreasing error rates.

Major Character Extraction using Character-Net (Character-Net을 이용한 주요배역 추출)

  • Park, Seung-Bo;Kim, Yoo-Won;Jo, Geun-Sik
    • Journal of Internet Computing and Services
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    • v.11 no.1
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    • pp.85-102
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    • 2010
  • In this paper, we propose a novel method of analyzing video and representing the relationship among characters based on their contexts in the video sequences, namely Character-Net. As a huge amount of video contents is generated even in a single day, the searching and summarizing technologies of the contents have also been issued. Thereby, a number of researches have been proposed related to extracting semantic information of video or scenes. Generally stories of video, such as TV serial or commercial movies, are made progress with characters. Accordingly, the relationship between the characters and their contexts should be identified to summarize video. To deal with these issues, we propose Character-Net supporting the extraction of major characters in video. We first identify characters appeared in a group of video shots and subsequently extract the speaker and listeners in the shots. Finally, the characters are represented by a form of a network with graphs presenting the relationship among them. We present empirical experiments to demonstrate Character-Net and evaluate performance of extracting major characters.

The Effects of Personal and Social Coping Resources of Mothers on the Stress of Caring Adult Children with Developmental Disabilities (어머니의 개인·사회적 대처자원이 성인발달장애인 자녀의 돌봄스트레스에 미치는 영향)

  • Shim, Seok Soon;Nam, Jeong Hwee
    • 재활복지
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    • v.20 no.1
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    • pp.43-64
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    • 2016
  • This study is to reveal the effects affecting mother' coping resources on caring stress of mothers caring for adult children with developmental disabilities. The research data was collected from the service users recruited from two disability organizations and the disabled community welfare centers in South Korea. The survey was limited to mothers caring for adult children with developmental disabilities over the age of 18. The samples of the study consisted of 119 mothers. The data were analysed through SPSS statistical program. It was used for the analysis method of Frequency analysis, T-test, ANOVA and Step wise regression. Analysis results are as follows: the family support and friend support of social coping resources is affecting in caring stress of mothers. Also, the mothers who is working are more caring stress than unemployed mothers and the mothers who is between 50age and 54age are more caring stress than the mothers of under 49 age. Based on these results, I proposed the idea of several programs for social work practice for community welfare centers based on the results.

The Effect of the Subjective Wellbeing on the Addiction and Usage Motivation of Social Networking Services: Moderating Effect of Social Tie (SNS 이용동기와 SNS 중독이 주관적 웰빙에 미치는 영향: 사회적 유대감의 조절효과)

  • Noh, Mi-Jin;Jang, Sung-Hee
    • Management & Information Systems Review
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    • v.35 no.4
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    • pp.99-122
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    • 2016
  • The social networking services (SNSs) have become popular among smartphone users, and one of the most popular services. In order to explain users' motivations toward SNS, this study considers uses and gratification theory which can explain individuals' motivations to select certain media channels. The purposes of this study is to investigate the relationships between motivations and addiction of SNS, and between addiction of SNS and decline in the subjective wellbeing. We examine moderating effects of social tie based on the social capital theory in the relationships between SNS addiction and decline in the subjective wellbeing. The motivations of SNS are subdivided into emotional motive (entertainment and fantasy) and cognitive motive (information share burden and challenge burden) based on the use and gratifications theory. The addiction of SNS is subdivided into time tolerance, withdrawal symptoms, interruption, and barrier of living. The data used in this study were collected from 286 SNS users through surveys. The data analysis in this study was performed using AMOS 17.0, and we used SEM(Structural Equation Modeling) methods in order to test the research model. The result shows that the emotional motive(entertainment and fantasy) and cognitive motive(information share burden and challenge burden) have an effect on the addiction of SNS. Especially emotional motive such as entertainment and users' fantasy toward SNS is an important factor that can cause SNS addiction. The addiction of SNS such as time tolerance, withdrawal symptoms, interruption, and barrier of living has an effect on the decline in the subjective wellbeing. Our result show that social tie partially moderates the relationship SNS addiction and decline in the subjective wellbeing. In addition, social tie between interruption of SNS and decline in the subjective wellbeing is an important moderating factor. The results focuses on the understanding toward relationship between SNS addiction based on the online and decline in the subjective wellbeing in the real world. The findings of this study also provides theoretical as well as practical implications which reflect the major features of SNS, and moderating effects of social tie based on the social capital.

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Quality Control Plan of Water Level in Agricultural Reservoirs using a Deep-Learning Based LSTM Model (딥러닝 기반 LSTM 모형을 이용한 농업용 저수지 수위자료 품질관리 방안)

  • Yang, Mi-Hye;Nam, Won-Ho;Shin, An-Kook;Kang, Mun-Sung;Kim, Taegon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.128-128
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    • 2020
  • 최근 농업환경의 변화와 기후변화에 대응하기 위해 농업용수 관리 정보화 및 과학화의 필요성이 증대되어 실시간으로 저수지 저수량과 농업용수 공급량을 파악하기 위해 자동 수위계측시설이 도입되었다. 농림축산식품부의 저수지 자동수위측정기 설치 및 운영지침에 따라 현재 농어촌공사 관리 저수지 1,734개소 및 수로부 1,880개소에 자동수위계가 설치되어 있으며, 저수지와 수로에서 10분 간격으로 수위자료가 생성되고 있다. 농업용 저수지 수문자료의 공인지점은 2016년 6개소에서 2019년 49개소로 증대되고 있으며, 데이터 품질 저하의 최소화 및 신뢰성 있는 수문자료 생성의 필요성이 증가함에 따라 농업용 저수지의 특성을 반영한 저수지 수위 오결측 데이터 보정 방안 및 수문 자료 품질관리 방안이 요구된다. 농업용 저수지의 수위 변화 및 강우-유출 현상은 물리적 모형을 구축하여 기상, 지형 등 영향 인자와 수위(또는 유출)와의 상관관계를 분석하는 것은 무적으로 불가능하였지만, 최근 인공신경망 (Artificial Neural Network, ANN) 등과 같이 black-box 형태의 모형을 이용하여 비선형적인 수문해석이 가능해졌다. 본 연구에서는 빅데이터와 인공신경망을 결합시킨 알고리즘인 딥러닝 (Deep Learning) 기반의 LSTM (Long Short-Term Memory) 모형을 활용하여 농업용 저수지 수위자료를 검토하여 자동계측기에서 발생하는 오류 보정을 위해 품질관리 방안을 제시하고자 한다.

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A Study on Conspired Insurance Fraud Detection Modeling Using Social Network Analysis

  • Kim, Tae-Ho;Lim, Jong-In
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.3
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    • pp.117-127
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    • 2020
  • Recently, proving insurance fraud has become increasingly difficult because it occurs intentionally and secretly via organized and intelligent conspiracy by specialists such as medical personnel, maintenance companies, insurance planners, and insurance subscribers. In the case of car accidents, it is difficult to prove intentions; in particular, an insurance company with no investigation rights has practical limitations in proving the suspicions. This paper aims reveal that the detection of organized and conspired insurance fraud, which had previously been difficult, could be dramatically improved through conspiring insurance fraud detection modeling using social network analysis and visualization of the relation between suspected group entities and by seeking developmental research possibilities of data analysis techniques.

A study on the legal structure of the nuclear law system using social network analysis (사회 연결망분석을 활용한 법제 네트워크 구조에 관한 연구: 원자력산업의 관계 법령정보를 중심으로)

  • Jeon, Jieun;Lee, Sanghoon
    • Journal of Digital Convergence
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    • v.17 no.8
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    • pp.47-60
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    • 2019
  • The purpose of this study is to explore the overall structural relationship between the statutory provisions of nuclear energy legislation and to identify the coherence of the nuclear law system using social network analysis. In particular, we analyze the legal structure of the "Nuclear Safety Act", which plays a central role in nuclear safety regulation, to examine the key provisions in legal network structure of Nuclear Safety Act. Therefore, we found the structural problems of the nuclear legal system and suggest the legislative improvement plan for reducing excessive legislative activity and determining the need for legal amendments in nuclear safety management and regulation. This study is expected to provide a analytical framework for making legal system of further policy in other science and technology industries as well as nuclear energy related industries.

The Analysis on Social Network of the Married Immigrant Women (다문화여성의 사회적 관계망 분석)

  • Kim, Min-Jeong
    • Korean Journal of Human Ecology
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    • v.21 no.3
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    • pp.469-488
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    • 2012
  • International marriage is composed over 10% among total marriage in Korea. Korea is changing rapidly to the multi-cultural society. The researches need to inquire into what the state of 'ethnic communities of the immigrant wives as the minorities' is and how the immigrant wives build and develop the ethnic networks longitudinally. At the beginning, this study tried to know what kinds of social networks the immigrant wives use for the process of being married and for the adjusting to marriage and Korean culture. For the purposes of this study FGI and the interviews were applied for the immigrant wives and the specialist groups in metropolitan city DaeGu. 18 interviewees from Vietnam, China, Philippine, etc.. were collected by the snow-ball sampling. The social networks of the immigrant wives in DaeGu were mainly private, but were deterritorialized and reterritorialized actively. They managed the close relationship with their family members of motherland, and had the networks sticky with relatives, friends, and other immigrant wives from the same countries. Even though they acquired the Korean nationality, they have the transnational identities. But the internet environment of Korea can contribute to activate the social networks for the ethnic communities of the immigrant wives.