• Journal of the Korea Society of Computer and Information
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• v.14 no.11
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• pp.1-12
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• 2009

Mobbing is going the rounds through a society rapidly and Military is not exception. Because mobbing of military is expressed not only psychology exclusion that is mobbing pattern of adult society but also sometimes psychologic and physical mobbing, is possible to join serious military discipline like a suicide and outrageous behavior. Specially military try to protect occurrence of victims that is public service through various rules and management plan but victims is going on happen. It means importance of grasp not only current mobbing victims but also potential mobbing victims better than preparation of various rules and management plans. Therefore this paper extracts seven factors and fifty attributes that are related to this matter mobbing. Next, by using Gunwoo's Social Network Service that is made for oneself and expressing extracting factors as '1' if they are related me or not '0'. And apply similarity function(Dice's coefficient) to attributes summation included in factors to calculate similarity between the users. Third, calculate optimizing weight choosing factors included attributes by applying neural network algorithm of SPSS Clementine and propose Mobbing Value(MV) Algorithm through this total summation. Finally through this algorithm which will contribute to efficient personnel management, we can grasp mobbing victims and tentative mobbing victims.

• The Journal of Korean Association of Computer Education
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• v.16 no.2
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• pp.61-68
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• 2013

SNS is a social networking service that helps people to have a two-way communication, manage their personal relationships and share information. The domestic and international SNS markets have attained a steady growth, and their growth is being more accelerated recently. Under these circumstances, immature students are more likely to show negative cyber behavior. This study attempted to analyze the relationship between the use of SNS, motives of SNS use, the use of active SNS functions, SNS-dependency and views in SNS and negative SNS behaviors among elementary and middle school students. For this, negative cycber behaviors are classified into four stages depending on the severity, for each of which distribution of factors is investigated and the combination of factors to determine each stage is obtained through association rule analysis. As a result, it is found that 85% of the students rarely show negative cyber behaviors, stealing personal information and contacting with strangers are the most frequent negative behaviors, and students with a great dependency on SNS are highly probable to show negative behaviors.

• Journal of the Korea Society of Computer and Information
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• v.25 no.10
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• pp.255-260
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• 2020

In this paper, I propose an efficient brand identity strategy by topic modeling the Instagram posts, one of SNS(Social Network Service) having more than 1billion world-wide and 500 million daily users. Since the 92% age groups of the Instagram is 18~50 years old (59% 18~29y and 33% 30~49), I set research analysis target three mobile commerce sites to dress and cosmetics sales sites that sale apparels cosmetics and gadgets that recently opened and have operated marketing on diverse channel including SNS. By topic modeling SNS posts for 6 months after launching the site that tagged each m-commerce site brand name or company name, I validate companies' brand identity strategy works effectively and suggest moderation of strategy for brand image. As a result, I found one of three mobile commerce site has different brand image by users and need different identity set up.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.542-552
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• 2019

This study aimed to analyze characteristics of employment and factors affecting of employment of person with Brain disorder. Participants were 317 individuals with brain disorders. Data were analyzed using Chi-square test, regression analyses. according to the Panel Survey of Employment for the Disabled in Korea. These factors were classified into disability and health factors, employment related factors, and household related factors. First, The employment group showed significantly severe disorder, higher health status, absent of daily life helper, absent of assistive devices, higher level education, licenses, public employment service, job arrangement of acquaintance, find a job oneself, married, absent of basic living security assistance, greater supports of family compared to the unemployed group. Second, Factors affecting employment of individuals with brain disorders included daily life helper, education level, job arrangement of acquaintance, married, basic living security assistance. Base on these results, developing dailylife and education system and social supported system and modifying the benefit system can promote employment acquisition of individuals with brain disorder.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.2
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• pp.281-286
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• 2017

SNS is a platformwhere users build a social relationship and share opinions and informations. To do these, it supports a text, an image and a video data. As it is possible to exploit the location data of a smart device, SNS tries to use the location data. However,since SNS does not support the coordinate data, it provides the restricted function sharing the image map instead of the vector map. In this paper, we propose a chatting systemsharing pathsto support the coordinate data on a classical SNS. On the proposed system, it is possible for usersjoined in a roomto watch a vector map of same area and exchange texts. If a user builds a path on the map, the system propagates the coordinate data of the generated path and the other users joined in the room watch the path immediately. The implemented chatting systemhasthe benefit to share the information related a map between users using coordinate data.

• The Journal of Society for e-Business Studies
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• v.24 no.2
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• pp.71-89
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• 2019

In order to come up with satisfying product and improvement, firms use traditional marketing research methods to obtain consumers' opinions and further try to reflect them. Recently, gathering data from consumer communication platforms like internet and SNS has become popular methods. Meanwhile, with the development of information technology, mobile companies are launching new digital products for children to protect them from harmful content and provide them with necessary functions and information. Among these digital products, Kids Phone, which is a wearable device with safe functions that enable parents to learn childern's location. Kids phone is relatively cheaper and simpler than smartphone but it is noted that there are several problems such as some useless functions and frequent breakdowns. This study analyzes the reviews of Kids phones from domestic mobile companies, identifies the characteristics, strengths and weaknesses of the products, proposes improvement methods strategies for devices and services through SNS consumer analysis. In order to do that customer review data from online shopping malls was gathered and was further analyzed through text mining methods such as TF/IDF, Sentiment Analysis, and network analysis. Customer review data was gathered through crawling Online shopping Mall and Naver Blog/$Caf\acute{e}$. Data analysis and visualization was done using 'R', 'Textom', and 'Python'. Such analysis allowed us to figure out main issues and recent trends regarding kids phones and to suggest possible service improvement strategies based on sentiment analysis.

• Therapeutic Science for Rehabilitation
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• v.13 no.2
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• pp.69-84
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• 2024

Objective : This study aimed to categorize the lifestyles of older adults into two types - healthy and unhealthy, and use machine learning to identify the personal values that influence these lifestyles. Methods : This cross-sectional study targeting middle-aged and older adults (55 years and above) living in local communities in South Korea. Data were collected from 300 participants through online surveys. Lifestyle types were dichotomized by the Yonsei Lifestyle Profile (YLP)-Active, Balanced, Connected, and Diverse (ABCD) responses using latent profile analysis. Personal value information was collected using YLP-Values (YLP-V) and analyzed using machine learning to identify the relative importance of personal values on lifestyle types. Results : The lifestyle of older adults was categorized into healthy (48.87%) and unhealthy (51.13%). These two types showed the most significant difference in social relationship characteristics. Among the machine learning models used in this study, the support vector machine showed the highest classification performance, achieving 96% accuracy and 95% area under the receiver operating characteristic (ROC) curve. The model indicated that individuals who prioritized a healthy diet, sought health information, and engaged in hobbies or cultural activities were more likely to have a healthy lifestyle. Conclusion : This study suggests the need to encourage the expansion of social networks among older adults. Furthermore, it highlights the necessity to comprehensively intervene in individuals' perceptions and values that primarily influence lifestyle adherence.

• 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.

• Korean journal of communication and information
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• v.16
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• pp.71-107
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• 2001

미국에서 이루어진 인터넷 중독 현상에 대한 초기 연구는 인터넷 중독을 알코올중독과 같은 개인의 정신적 질병으로 간주하는 의사들에 의해 주도되었다. 그러나 사회현상으로서 인터넷 중독에 대한 사회과학자들의 관심이 증대되면서 인터넷 중독의 원인을 밝히는 본격적인 연구가 이루어진다. 인터넷 이용과 초고속 인터넷 망 보급속도에서 세계최고 수준을 자랑하는 우리의 경우에도 인터넷 이용에 따른 많은 부정적인 현상들이 나타남으로써 사회적인 문제로 대두되고 있다. 이에 따라 인터넷 중독에 대한 일부 연구가 수행되었는데 이들 연구들은 인터넷 이용패턴과 이용동기를 개별적으로 분석하고 인터넷 중독정도를 측정하는 차원에 머물고 있다. 즉, 인터넷 중독의 원인을 분석하는 차원에 이르지 못하고 있다. 또한 대부분의 연구들이 10대 청소년을 연구대상으로 하고 있기 때문에 다른 연령층의 인터넷 이용특성을 파악하는 데 한계를 가지고 있다. 이 같은 현실 인식을 바탕으로 본 연구는 2000년에 발표된 한국전산원 통계수치에서 인터넷을 가장 많이 이용하는 집단으로 조사된 대학생들을 연구대상으로, (1) 이들의 인터넷 이용패턴과 이용동기를 밝히고 (2) 이들 변인들과 인터넷 중독과의 상호관련성을 분석하며 (3) 인터넷 중독의 정도와 중독요인을 조사하고 (4) 마지막으로 인터넷 이용이 다른 미디어 이용과 면대면 커뮤니케이션에 미치는 영향을 분석하고 있다. 본 연구의 자료는 2000년 5월 8일부터 19일까지 2주간에 걸쳐 서울시내 대학생들을 대상으로 강의시간에 설문지를 배포하고 응답자가 설문지에 답하는 방법을 통해 수집되었다. 수집된 556명의 설문지 가운데 유효한 512명의 설문지가 통계적인 방법을 통해 분석되었다. 설문지는 (1) 인터넷 이용패턴 (2) 인터넷 이용 동기 (3) 인터넷 의존도 (4) 인터넷 이용 이후 다른 미디어 이용정도 (5) 인터넷 이용 이후 면대면 커뮤니케이션 정도 (6) 인구통계학적 변인을 측정하는 질문 내용으로 구성되었다. 통계 분석 후 나타난 몇 가지 주요결과를 요약하면 아래와 같다. (1) 이용동기와 인터넷 이용과의 상호관련성 이용동기를 요인 분석한 결과, 6개의 이용동기가 나타났는데 오락이 가장 주요한 동기였으며 다음으로 교육/정보, 현실도피, 외로움, 쇼핑, 그리고 성적 만족 순으로 나타났다. 이용 동기들을 인터넷 이용시간과의 상호관련성을 통계 분석한 결과 기존 연구결과와 달리 성적 만족이 6가지 요인 가운데 가장 낮은 상호관련성을 보였다. 또한 이용동기 분석에서 두 번째 높게 나타난 교육/정보 역시 성적 만족 다음으로 낮은 상호관련성을 보여주었다. 이는 대학생들의 인터넷 이용이 10대들의 인터넷 이용형태와 상당히 다르다는 것을 보여주는 것으로 본 연구에서는 수행하지 못한 이 같은 결과가 나오게 된 이유를 밝히는 후속연구가 필요할 것으로 보인다. (2) 인터넷 이용동기와 인터넷 서비스와의 상호관련성 '오락은 게임, 토론그룹, 전자메일, 채팅과 상호관련을 가진 것으로 나타났으며, 교육/정보는 검색과 쇼핑, 현실도피는 게임과 토론그룹, 외로움은 토론그룹, 전자메일과 채팅, 쇼핑은 온라인 쇼핑과 상호관련성이 있는 것으로 분석되었다. 흥미로운 사실은 성적 만족과 관련해서 게임과 채팅은 긍정적인 상호관련을 가진 것으로 나타난 반면 전자메일 서비스 이용은 성적 만족과 부정적인 상호관련을 가진 것으로 분석되었다. 이는 대학생들이 지루하게 느끼거나 외로움을 느낄 때 전자메일을 주로 이용하지만 성적 만족을 위해 전자메일을 이용하지 않고 있다는 사실을 보여주는 것이다. (3) 인터넷 이용 이후 다른 미디어와 면대면 커뮤니케이션과의 관계 인터넷을 이용한 후 응답자들의 전통적인 미디어(텔레비전, 라디오, 신문, 잡지, 편지, 전화) 이용이 감소되었으며 친구, 가족, 이성친구와의 면대면 커뮤니케이션 역시 감소된 것으로 나타났는데 이 같은 감소가 인터넷 이용과 관련이 있는 것으로 나타났다. (4) 인터넷 중독 정도와 중독 요인 10대들을 대상으로 한 기존 연구에서 나타난 인터넷 중독 현상이 대학생 집단에서는 나타나지 않았다. 그러나 응답자의 28.5%가 중독집단으로 발전될 가능성을 가진 잠재적인 인터넷 의존자(Moderate Internet Dependent)로 조사되었다. 인터넷 중독을 설명하는 요인으로 이용동기 가운데 오락, 외로움과 현실도피가 주요 변인으로 나타났으며 인터넷 이용시간 역시 주요변인으로 분석되었다. 흥미 있는 결과는 선행연구에서 인터넷 중독과 밀접한 관련 있는 인터넷 서비스로 조사된 게임과 채팅이 주요변인으로 나타나지 않았다는 것이다. 또한 인터넷 이용동기와 이용시간과의 상호관련 조사 결과에서처럼 전자메일서비스는 인터넷 중독과 부정적인 관계가 있는 것으로 조사되었다.

• Journal of The Korean Association of Information Education
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• v.17 no.1
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• pp.1-8
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• 2013

SNS is a social networking service that removes the barrier between cyber spaces and the real world and helps people who have common interests to have a two-way communication, manage their interpersonal relationships and share information. The domestic and international SNS markets have attained a steady growth, and their growth is being more accelerated in recent days. However, studies on SNS have just examined adults, and it's required to research the use of SNS and cyber behaviors via SNS among elementary and middle school students. This study attempted to analyze the relationship of the use of SNS, motivation of using SNS, the use of active SNS functions, SNS-dependent tendency and SNS awareness to cyber behaviors via SNS among elementary and middle school students. As a result, regardless of gender and grade, stealing private information was the most frequent activity and the frequency of 'contacting strangers' activity increased most rapidly with the usage time and grade. SNS dependency turned out to be the most highly correlated with the negative cyber behavior. Moreover, the difference of gender was not significant to the overall negative cyber behavior, whereas that of grade was.