• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.3
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• pp.173-178
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• 2010

This Paper deals with Social Network Service for smart-phone environment. Mobile social network service will developed with augmented reality combined with SNS. Therefore, this research introduce methodology and augmented reality system for social network analysis based on smart-phone environment. Introducing methodology and item and augmented reality will help further smart-phone research.

• Journal of the Korean Home Economics Association
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• v.47 no.10
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• pp.29-37
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• 2009

The purpose of this study was to investigate the mediating role of self-worth in the relationship between social support and depressive symptoms. Seven hundred and thirty-eight 5th and 6th graders in Seoul completed questionnaires. Path analysis demonstrated that social support had a significant direct effect on depressive symptoms. This analysis also revealed that social support influenced depressive symptoms through self-worth. These findings suggest that the relationship between perceived social support and depressive symptoms in children is partially mediated through a personal variable like self-worth.

• Journal of Agricultural Extension & Community Development
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• v.26 no.3
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• pp.127-141
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• 2019

Self-esteem and social supports are important variable influencing adjustment to college life. This study aims to identify the factors influencing adjustment to college life. Data were collected from 265 usable questionnaires among college students in Pyeongtek University. Results of a factor analysis yielded three dimensions of self-esteem which were talent/attitude and capacity/pride. And results of factor analysis also yielded three dimensions of social supports which were family, friends, and professor supports. Hierarchical regression analysis revealed that capacity/pride and all of social support factors affected significantly for adjustment to college life. And female and aptitude for students' major had a positive affect on adjustment to college life. It was suggested that self-esteem, social supports, and aptitude for students' major should be considered in college management policy.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.163-170
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• 2021

As a big data is being used in various industries, big data market is expanding from hardware to infrastructure software to service software. Especially it is expanding into a huge platform market that provides applications for holistic and intuitive visualizations such as big data meaning interpretation understandability, and analysis results. Demand for big data extraction and analysis using social media such as SNS is very active not only for companies but also for individuals. However despite such high demand for the collection and analysis of social media data for user trend analysis and marketing, there is a lack of research to address the difficulty of dynamic interlocking and the complexity of building and operating software platforms due to the heterogeneity of various social media service interfaces. In this paper, we propose a method for developing a framework to operate the process from collection to extraction and classification of social media data. The proposed framework solves the problem of heterogeneous social media data collection channels through adapter patterns, and improves the accuracy of social topic extraction and classification through semantic association-based extraction techniques and topic association-based classification techniques.

• Journal of Information Technology Applications and Management
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• v.22 no.3
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• pp.83-103
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• 2015

The rapid development of internet technologies and social media over the last few years has generated a huge amount of unstructured text data, which contains a great deal of valuable information and issues. Therefore, text mining-extracting meaningful information from unstructured text data-has gained attention from many researchers in various fields. Topic analysis is a text mining application that is used to determine the main issues in a large volume of text documents. However, it is difficult to identify related issues or meaningful insights as the number of issues derived through topic analysis is too large. Furthermore, traditional issue-clustering methods can only be performed based on the co-occurrence frequency of issue keywords in many documents. Therefore, an association between issues that have a low co-occurrence frequency cannot be recognized using traditional issue-clustering methods, even if those issues are strongly related in other perspectives. Therefore, in this research, a methodology to reorganize social issues from a research and development (R&D) perspective using social network analysis is proposed. Using an R&D perspective lexicon, issues that consistently share the same R&D keywords can be further identified through social network analysis. In this study, the R&D keywords that are associated with a particular issue imply the key technology elements that are needed to solve a particular issue. Issue clustering can then be performed based on the analysis results. Furthermore, the relationship between issues that share the same R&D keywords can be reorganized more systematically, by grouping them into clusters according to the R&D perspective lexicon. We expect that our methodology will contribute to establishing efficient R&D investment policies at the national level by enhancing the reusability of R&D knowledge, based on issue clustering using the R&D perspective lexicon. In addition, business companies could also utilize the results by aligning the R&D with their business strategy plans, to help companies develop innovative products and new technologies that sustain innovative business models.

• International Journal of Advanced Culture Technology
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• v.6 no.2
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• pp.58-64
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• 2018

This main purpose of the study is to identify social network of communicators sharing information on Bokjiro for publicizing welfare policy. This study employs NodeXL pro to understand networks and their role in the social network. The data for social network analysis was collected from Twitter for a week. The result of the analysis shows that the social network of communicators on Bokjiro does not have many nodes. It also has an independent network with high possibility of information distortion. Little communicators have controlling power in information flow in one way of communication. According to the result, it is not effective for marketing strategy of welfare policy in providing online information through Bokjiro. The study suggests that the government should use the transactional approach to marketing based on agent-oriented activity focusing on the exchange relationship between information providers and demanders in an age of networked intelligence.

• Knowledge Management Research
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• v.16 no.3
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• pp.81-102
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• 2015

With the rapid development of digital media, there has been a huge change in a way of communication, a process of information diffusion and a role of traditional media. Not like mass media, social media enables users to generate and tap into the opinions of a larger world. From that reason, social media is impacting marketing strategies. However, still social media marketing researches just focus on case study, analysis of users motivation or analysis of power user's usage pattern. Word-of-mouth has always been important especially in marketing area. In social media, word-of-mouth depends on each user that's why this research focuses on individual user's activity in SNS. I defined 4 factors (produce, diffusion, network size, activity of network size enlarge) that are effect on activity and verified hypothesis by multiple regression analysis, hierarchical regression analysis and moderated multiple regression.

• The Journal of Information Systems
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• v.22 no.1
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• pp.117-143
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• 2013

Social media have been rapidly and widely adopted in various areas, and tourism industry can be one of potential growing areas. Tourist and travelers would like to share their photos and stories as well as find others' experiences. People are doing their activities through social media. Regarding relaxing entertainments, information sharing, escapism, social interaction, tourism activities are being paid attention by majority of users in social media. However, Although people have various motivation for using social media, academically researchers have not actively studied on the phenomenon arising from tourism industry. Therefore, this study aims to the reasons for tourism information searching motivational factors of social media that influence perceived value and its consequences such like before-searching, during-searching, and after-searching and divided social media into two types according to the level of social presence, and then empirically verified them. Antecedent variables divided into benefits including perceived usefulness and information quality and sacrifices including complexity and perceived effort. Our analysis results show that both of dimensions had the greatest effect on perceived value of social media use, which affect the consequences.

• Journal of Korean Public Health Nursing
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• v.32 no.1
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• pp.56-68
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• 2018

Purpose: This study was conducted to examine the personal and social environmental factors affecting leisure time physical activity (LTPA) among adults living in rural communities. Methods: A cross-sectional study was conducted with a convenience sample of 282 adults living in three rural towns of Chungcheongbuk province. Leisure time physical activity was assessed through the Korean version of the Global Physical Activity Questionnaire (GPAQ), and social influence and social cohesion of social environment were assessed using reliable and validated measures. Multiple logistic regression analysis was conducted to explore personal and social environmental factors associated with LTPA. Results: The overall prevalence of leisure-time physical activity (LTPA) was 40.0%. Multiple logistic regression analysis showed that LTPA participation was associated with gender (OR=2.60, 95% CI=1.47-4.58), healthy eating (OR=1.15, 95% CI=1.01-1.31), unhealthy eating (OR=0.70, 95% CI=0.53-0.93) and social influence for physical activity (OR=1.11, 95% CI=1.03-1.20). However, social cohesion was not correlated with engaging in LTPA. Conclusion: Both personal and social environmental factors are associated with LPTA among rural adults living in Eup-Myen regions. Interventions to promote LTPA would likely benefit from considering healthy dietary intake and social influence for physical activity.

• The Journal of Korean Society for School & Community Health Education
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• v.11 no.1
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• pp.93-115
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• 2010

Objectives: This study intends to understand the difference of social support levels and the relationship between social support the health status, college adjustment and academic achievement in the college student. Methods: Data were obtained from self-administered questionnaire of 416 college student. We measured the demographic characteristics, social support (tangible support, appraisal support, belonging support, self-esteem support), health status (36-item short-form health survey(SF-36), center for epidemiologic studies-depression(CES-D), perceived stress scale(PSS)), student adaptation to college questionnaire(SACQ), average grades point. Chi-square test, t-test, ANOVA test, pearson correlation analysis were used for analysis factors relation of the social support of the college students. Results: In considering the degree of social support by the demographic characteristics in the college students, the social support was better for the female college students. In considering the relation between social support and health status, the students who get better social support, were good in health depression and perceived stress status. When they got better social support their college adjustment and academic achievement were good. The result was statistically significant. Conclusions: Social support for students has great influence on health, college adjustment and academic achievement of students. Psychological aspects of students should be included in the strategy of social support for students.