• 디지털산업정보학회논문지
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• 제14권4호
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• pp.35-45
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• 2018

Users are sharing many of contents such as text, image, video, and so on in SNS. There are various information as like as personal interesting, opinion, and relationship in social media contents. Therefore, many of recommendation systems or search systems are being developed through analysis of social media contents. In order to extract subject-related topics of social context being collected from social media channels in developing those system, it is necessary to develop ontologies for semantic analysis. However, it is difficult to develop formal ontology because social media contents have the characteristics of non-formal data. Therefore, we develop a social topic system based on semantic and subject correlation. First of all, an extracting system of social topic based on semantic relationship analyzes semantic correlation and then extracts topics expressing semantic information of corresponding social context. Because the possibility of developing formal ontology expressing fully semantic information of various areas is limited, we develop a self-extensible architecture of ontology for semantic correlation. And then, a classifier of social contents and feed back classifies equivalent subject's social contents and feedbacks for extracting social topics according semantic correlation. The result of analyzing social contents and feedbacks extracts subject keyword, and index by measuring the degree of association based on social topic's semantic correlation. Deep Learning is applied into the process of indexing for improving accuracy and performance of mapping analysis of subject's extracting and semantic correlation. We expect that proposed system provides customized contents for users as well as optimized searching results because of analyzing semantic and subject correlation.

• International Journal of Contents
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• 제13권1호
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• pp.53-61
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• 2017

Recently, the Social Internet of Things (IoT), the follow-up of the IoT, has been studied to expand the existing IoT services, by integrating devices into the social network of people. In the Social IoT environment, humans, devices and digital contents are connected with social relationships, to guarantee the network navigability and establish levels of trustworthiness. However, this environment handles massive data, including social data of humans (e.g., profile, interest and relationship), profiles of IoT devices, and digital contents. Hence, users and service providers in the Social IoT are exposed to arbitrary data when searching for specific information. A study about the recommender system for the Social IoT environment is therefore needed, to provide the required information only. In this paper, we propose the Social correlation group based Recommender System (SRS). The SRS generates a target group, depending on the social correlation of the service requirement. To generate the target group, we have designed an architecture, and proposed a procedure of the SRS based on features of social interest similarity and principles of the Collaborative Filtering and the Content-based Recommender System. With simulation results of the target scenario, we present the possibility of the SRS to be adapted to various Social IoT services.

• 가정과삶의질연구
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• 제26권2호
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• pp.103-114
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• 2008

The purpose of the study is to examine the influences of irrational belief and social support on adolescents' social anxiety. Questionnaires regarding irrational belief, social support, and social anxiety were administered to 566 2nd and 3rd grade middle-school students in Gyeonggi Province. Finally 523 questionnaires were collected and statistically analyzed through t-test, Pearson's correlation analysis, hierarchical and stepwise multiple regression analysis. The results of the study were as follows: 1) While there were gender differences in social anxiety, irrational belief, and social support sources, no differences in social support types were observed. 2) While social anxiety and irrational belief showed a positive correlation, social anxiety and social support revealed a negative correlation. Additionally, irrational belief and social support showed a negative correlation. 3) Irrational belief(catastrophizing, extreme anxiety and fear, personal perfection, and helplessness), emotional social support, and social support from friends were significant predictors of social anxiety. 4) Irrational belief which predicted each social anxiety subtype was varied.

• 대한통합의학회지
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• 제7권2호
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• pp.31-38
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• 2019

Purpose : This study aimed to investigate the correlation between social participation and interpersonal relationships after stroke. Methods : Scores for the Korean version of the Reintegration to Normal Living Index (K-RNLI) and the Relationship Change Scale (RCS) were determined using a face-to-face test for 98 patients who had a stroke between September 3, 2018, and January 10, 2019. SPSS 22.0 was used for the analysis, and the correlation coefficient between social participation and interpersonal relationships was determined. Results : According to the patients' general characteristics, social participation was related to sex, type of lesion, and affected side, and interpersonal relationships showed a significant difference with respect to the affected side (p<.05). The analysis of social participation and interpersonal relationships of the subjects revealed a high correlation with total score (r=.364; p<.01), and all the items showed correlations except sensitivity (p<.05). Conclusion : Social participation and interpersonal relationships are important factors for reintegrating stroke patients into the community. The results of this study suggest a clinical basis for rehabilitation interventions in stroke patients.

• 대한통합의학회지
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• 제8권4호
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• pp.231-239
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• 2020

Purpose: The purpose of this study is to identify the relationship of between social support, emotional intelligence, depression, and health promotion behaviors of nursing college students, and to establish basic data for the development of a nursing intervention program for health promotion behaviors. Methods: This descriptive correlation study examined the correlation between the social support, emotional intelligence, depression, and health promotion behaviors of nursing students. 203 nursing college students located in J city participated in the study from November to December 2019. The collected data was analyzed used the SPSS WIN 22.0 program. The general characteristics of the subjects were analyzed by frequency and percentage, and health promoting behavior, social support, emotional intelligence, and depression were analyzed using mean and standard deviation. In this study, the correlation between the subjects' social support, emotional intelligence, depression, and health promotion behaviors was analyzed using Pearson correlation coefficient. Results: The study results showed that the subjects' health promotion behaviors averaged 2.22±0.38 points out of 4d social support averaged 3.83±0.59 points out of 5, emotional intelligence averaged 4.53±0.73 out of 7, and depression averaged 0.49±0.42 points out of 2 points. The analysis results of correlation between the subject's health promotion behaviors, social support, emotional intelligence, and depression showed that health promotion behaviors and social support (r=.287, p<.001), health promotion behaviors and emotional intelligence (r=.450, p<.001), and social support and emotional intelligence (r=.450, p<.001) had a positive correlation, but depression and health promotion behaviors (r=-.453, p<.001), depression and social support (r=-.259, p<.001), and depression and emotional intelligence (r=-.322, p<.001) had a negative correlation. Conclusion: This study will provide the basic data for a follow-up researches on the social support, emotional intelligence, depression and health promotion behaviors of nursing college students. It is expected to serve as the basic data for developing nursing intervention programs for health promotion behaviors in the future.

• 융합경영연구
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• 제12권3호
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• pp.35-42
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• 2024

Purpose This study aims to investigate the correlation of social skills and metacognition among university students participating in service-learning programs. Also by evaluating the satisfaction of college students participating in service learning, this research seeks to understand the impact of this program on learning experiences. Research design, data and methodology: The research period spans two semesters, each comprising 15 weeks, from March 2, 2023, to December 20, 2023. Detailed procedures, including planning, preparation, data collection, analysis, and organization, cover activities conducted over the course of 30 weeks. These activities encompass various stages, from initial classroom planning with designated English storybooks to reflection and feedback sessions aimed at continuous development. Data collection methods include surveys, interviews, and observations, allowing for a comprehensive examination of social skills and metacognition among participating students. Results: The results show significant correlations between social skills and metacognition, such as the correlation between knowledge and statistics (r = 0.759, p < .01), the moderate correlation between cooperation and knowledge (r = 0.532, p < .01), the moderate correlation between statistics and cooperation (r = 0.539, p < .01), and the correlation between self-regulation and assertion (r = 0.278, p < .001). The average score of the satisfaction of college students participating in service learning was 4.8 out of 5. Conclusions: This study highlights the significant role of service-learning in boosting social skills and metacognition among university students. This study enhances the academic understanding of the relationships between social skills, metacognition, and service-learning programs, contributing to the expansion of both theoretical and practical knowledge in the field.

• 한국간호교육학회지
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• 제25권1호
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• pp.125-135
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• 2019

Purpose: This study was conducted to determine the mediator effect of social support in the association between stress for college life and depression among nursing students. Methods: The participants of the study were 201 university students in A and C cities. Self-report questionnaires were used to measure the variables. In the data analysis, the SPSSWIN 25.0 program was utilized for descriptive statistics, Pearson's correlation, Sobel test and multiple regression analysis. Results: Mean scores of stress for college life, depression and social support were 2.56, 4.12 and 0.61, respectively. Stress for college life and depression showed a significant positive correlation (r=.60, p<.001), while depression and social support showed a significant negative correlation (r=-.46, p<.001). Lastly, stress for college life and social support showed a significant negative correlation (r=-.55, p<.001). The analysis of the mediator effect of social support in the association between stress for college life and depression showed that social support had a significant mediator effect. Conclusion: Among nursing students, social support may be a mediator in the association between stress for college life and depression. Therefore, strategies for nursing intervention to improve social support should be developed for nursing students.

• 한국어교육
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• 제28권2호
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• pp.1-36
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• 2017

This study investigated the correlation between learners' psychological and social factors and their syntactic complexity of speaking. The study collected samples of Korean spoken production of 61 learners with English, Chinese, Japanese and other L1 backgrounds and applied mini-TOPIK, mini-AMTB, and SASIQ for 70 minutes. The study found that: (i) integrative motivation showed positive correlation with a number of simple complex clauses, but instrumental motivation correlated negatively with a number of adverbial clauses, indicating that high motivation hindered producing highly complex clauses although it triggered producing simple complex clauses, (ii) social contact with L2 native speakers showed positive correlation with general L2 development and a number of simple complex clauses, but revealed negative correlation with double or triple complex clauses, (iii) hours of L2 listening showed very strong positive correlation with producing triple complex clauses and general proficiency, but indicated negative correlation with a number of simple complex clauses. The study reported that high motivation toward Korean learning and active social activities with Korean native speakers helped produce simple complex clauses while hours of listening to Korean helped produce triple complex clauses.

• 한국엔터테인먼트산업학회논문지
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• 제13권3호
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• pp.259-268
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• 2019

본 연구에서는 지역사회에 거주하고 있는 뇌졸중 환자를 대상으로 사회적 지지와 사화참여의 상관성 및 관련요인을 분석하고자 하였다. 2018년 9월 3일부터 2019년 1월 10일까지 뇌졸중 환자 92명을 대상으로 사회적 지지와 사회참여척도를 사용하여 조사하였다. 그 결과 사회적 지지와 사회참여에서는 높은 상관관계를 보였고, 사회적 지지와 관련 있는 요인으로는 동거 유무, 사회참여였고, 사회참여와 관련 있는 요인으로는 뇌졸중 유형, 환자와의 관계, 가족 지지였다. 본 연구의 결과를 통해 사회적 지지와 사회 참여가 관련이 있음을 알 수 있었다. 본 연구의 결과를 통해 지역사회에 거주하고 있는 뇌졸중 환자의 재활 중재에 근거로 사용할 수 있을 것이다.

• 동서간호학연구지
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• 제21권1호
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• pp.78-84
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• 2015

Purpose: The purpose of this study was to investigate the relationship between self-esteem, social support, smartphone dependency and internet game dependency of college students. Methods: This was a descriptive study. The survey participants were 299 college students in M city and I city. The data were collected from June 2 to June 20, 2014 and self-report questionnaires including Self-Esteem Scale, Multidimensional Scale of Perceived Social Support, Smartphone Dependency Sale, Internet Game Dependency Scale. Data were analyzed by descriptive statistics, independent-sample t-test, ANOVA, stepwise multiple regression. Results: Social support & smartphone dependency showed significant differences according to gender. Smartphone dependency was found to have a statistically negative correlation with self-esteem, social support and positive correlation with internet game dependency. Internet game dependency was found to have a statistically negative correlation with self-esteem, social support. Social support was found to have a statistically negative correlation with self-esteem. Stepwise multiple regression analysis revealed that the significant predictors of smartphone dependency were internet game dependency, gender, self-esteem, accounted for 16.6% of the variance. Conclusion: It is necessary for reduction program of college students' smartphone dependency that consider their internet game dependency, gender, self-esteem.