• Journal of KIISE
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• v.42 no.5
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• pp.664-670
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• 2015

With the rapid progression of the Internet and smartphones, YouTube has grown significantly as a social media sharing site and has become popular all around the world. As users share videos through YouTube, social data are created and users look for video recommendations related to their interests. In this paper, we extract users' social category based on their social relationship and social category classification list using YouTube data. We propose the YouTube recommendation algorithm using the extracted users' social category for more accurate and meaningful recommendations. We show experiment results of its validation.

• Journal of Family Resource Management and Policy Review
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• v.21 no.1
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• pp.65-88
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• 2017

The main purposes of this study are to appraise the family-centered case-management (FCCM) practices in terms of building the community networking efforts, and to propose the practical improvement suggestions to overcome the barriers in practicing the current Healthy Families Policy, FCCM. The blended methodology was employed by collecting the quantitative and qualitative data sets including an staff's on-line survey, in-depth interviews(site case studies), and FGIs. As results, the authors found, despite the building and maintaining functional community networks was the essential and critical condition for the FCCM policy deliveries, many staffs have faced hardships in FCCM practices such as building a new network or finding an available and apt network within their communities. The lack of previous experiences in case-management exaggerated the functional difficulties thus, the new staffs were more prone than the staffs with 2 or more years experiences to the misunderstanding about the missions and tasks related to FCCM. Authors suggested that various on-the-job-training should be provided to eliminate those obstacles to build and/or maintain the community network for FCCM. Also, it is necessary for the each institution's director or managers to understand the FCCM and its relation to community networking, and to support FCCM staff members.

• Journal of Information Technology Services
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• v.10 no.1
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• pp.1-20
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• 2011

The market structure and consumer characteristics are changing dynamically according to internet shopping industry developing based on Web 2.0. But, there is absent typical online service after 'Cyworld.' The social shopping sites based on social networking reflect to present phenomenon that collective intellect, information sharing, participate in making information. The social shopping sites are not limited in particular shopping sites but include all of sites in online. So, consumers can copy various products and display on their own blog provided from social shopping sites and make some purchase reviews and any comments about products can lead transactions among social shopping sites. So, it might be a one of meta-shopping mall like 'Naver.' As the social shopping sites are new form, we just applied to TAM theory to figure out acceptance factors using SEM. The perceived enjoyment affect to usefulness, ease of use and using intension. The perceived ease of use also affect to usefulness and the usefulness affect to using intension positively. But the perceived ease of use was for nothing in using intension. Finally, we provided managerial implications to activate domestic online shopping industry and theoritical meaning using extended TAM.

• The Research Journal of the Costume Culture
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• v.23 no.3
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• pp.498-511
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• 2015

This paper examines advertising images of fashion brands in vertical social network site (SNS) from the viewpoints of message strategies. Vertical social network sites are types of social curation systems applied to social networking, where information is selected, organized, and maintained. Fashion brands communicate with consumers by presenting images on vertical SNSs, anticipating improvements in brand image, popularity, and loyalty. Those images portray content for particular brands and seasonal concepts, thus creating paths for product sales information. Marketing via SNSs corresponds to relationship marketing, which refers to long-term interrelationship and value augmentation between the company and consumer, and viral advertising, which relies on word of mouth distribution via social network platforms. Taylor's six-segment message strategy wheel, often used for analyzing viral ads, was applied to conduct a content analysis of the images. A total of 2,656 images of fashion brands advertised on Instagram were selected and analyzed. Results indicated that brand values were somewhat related to the number of followers. Follower rankings and comment rankings were also correlated. In general, fashion brands projected sensory messages most often. Acute need and rational messages were less common than other messages. Sports brands and luxury brands presented sensory messages, whereas fast fashion brands projected routine images most often. Fashion brands promoted on vertical SNSs should portray advertising images that combine message strategies

• The Journal of Bigdata
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• v.1 no.1
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• pp.61-66
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• 2016

With big data analysis, companies use the customized marketing strategy based on customer's information. However, because of the concerns about privacy issue and identity theft, people start erasing their personal information or changing the privacy settings on social network site. Facebook, the most used social networking site, has the feature called 'Likes' which can be used as a tool to predict user's demographic profiles, such as sex and age range. To make accurate analysis model for the study, 'Likes' data has been processed by using Gaussian RBF and nFactors for dimensionality reduction. With random Forest and 5-fold cross-validation, the result shows that sex has 75% and age has 97.85% accuracy rate. From this study, we expect to provide an useful guideline for companies and marketers who are suffering to collect customers' data.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.2
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• pp.1032-1042
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• 2017

Many empirical studies indicate that SNS use has increased substantially over the last few years. People use SNSs for social purposes, mostly related to the maintenance of existing offline contacts. Such usage may have led to compulsive use of SNSs resulting in addictive behavior. This paper aims to explore factors affecting SNS addiction. Specifically, the study examined the role of personality traits in the Facebook usage among college students. Compared to the rest of world, daily log on the site has grown very quickly in South Korea. And college students constitute a vast majority of Facebook users in South Korea. Results from a survey of 235 college students revealed that extraversion and neuroticism positively predicted Facebook usage. Students who were high in extraversion were more likely to update their profiles, share photo and images with others and give feedback on other's posts. Similarly, those who were high in neuroticism were more likely to share photo and images with others and update their profiles. These findings support previous research. Furthermore, in terms of the effect of personality on SNS addiction, this study found that consciousness was negatively associated with Facebook addiction, while extraversion and neuroticism were positively associated with Facebook addiction. Based on these findings implications and directions for futures studies are discussed.

• Journal of The Korean Association of Information Education
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• v.22 no.1
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• pp.159-167
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• 2018

In this study, we have developed an online learning community site using Humhub social network software and promote social constructive learning through the questions and answers in subject specific learning groups. By accumulating learning contents which consist of questions and answers about specific topics, learners can acquire knowledge by searching relevant topics and questions and can create and reconstruct knowledge as well as consuming knowledge by participating in self-regulated learning community. We have developed a mathematical editor feature which enables users to enter mathematical expression such as equations and greek characters. Online learning community sites can be used for inquiry based information education.

• Journal of Families and Better Life
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• v.35 no.2
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• pp.1-16
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• 2017

The purpose of this study was to investigate adolescents' individual and microsystem variables including relationships with parents and friends affecting adolescents' experiences of mobile social networking site (SNS) cyberbullying based on the human ecological perspective. Data came from 344 middle school students who lived with both their parents in the Seoul and Gyunggi areas. A multiple regression analysis showed that adolescents' characteristics, relationships with parents, and friends were associated with their experiences of mobile SNS cyberbullying. These findings suggest that good relationships with parents could be protective factors for adolescents to reduce mobile SNS cyberbullying. However, adolescents' characteristics including aggression, depression, and delinquent peers were positively associated with adolescents' experiences of mobile SNS cyberbullying. This study highlights that various environments are closely related to adolescent development.

• 한국IT서비스학회:학술대회논문집
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• 2009.11a
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• pp.73-82
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• 2009

Although the Internet has been a important communication tool in modern societies, researchers did not pay attention to its' positive impacts on individual's psychological process. The Internet provides users with a unique environment such as visual isolation, non face-to-face communication, and easiness to escape from social influences. This environment enables people to take free action according to their personality and disclose themselves. From the uses and gratification perspective, the current research reveals that individuals with high extraversion are inclined to maintain social networking sites and those with high openness participate in web communities. The findings indicate that individuals' social use of the Internet may reflect their personality. To fill the research void like this, this study proposes a new research model in which well bing as well as perceived value are positively linked to satisfaction and continuance to use. The statistical results obtained by applying PLS to the valid 150 questionnaires showed that the well bing has stronger positive influence on satisfaction and continuance to use than the perceived value. Therefore, a practical implication is suggested that the web site need to be designed in a way of arousing users' well bing more strongly.

• Journal of Service Research and Studies
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• v.1 no.1
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• pp.49-60
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• 2011

Recently, with the growing of social network sites, people's choice is also getting more and more. So the notion of loyalty has become an important construct within the Social Network framework because of member is easy switching on the social networking sites. Despite the increasing importance of social network sites loyalty question, there's very little research in this area. In electronic commerce, the website loyalty development process is based on both website satisfaction and website trust toward the net-enabled business. But how to target the members with high or low loyalty in the social network sites is still a question. In this paper we propose one improved RFM model to evaluate the member loyalty to find the potential members for improving the service quality of the social network site. In addition, an empirical case study is performed to demonstrate how this procedure works. Moreover, further applications of this research are provided for improved social network sites experiences and how to use the model to practice.