• The Journal of the Korea Contents Association
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• v.9 no.6
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• pp.62-71
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• 2009

This paper is a study on the elected korean leading actors & directors who have stable mobility power for audience and social networking. We elected 153 most reliable Korea actors and directors of stardom" (50 directors, 103 actors); they have to put on the name in the 20 high ranks, and more than twice from the total amount of Korean audience about showing 700 movies by 1998-2007. And then we analyze out 'who might be centre in social networking and social networking between actor and director," through 'Centrality Analysis' using the "UCINET" social networking analysis program Finally, we know 'Kim sang-jin director' is 'key men' and 'star' who reduced uncertainty definitely: For a long time, he combines most stable audience power with broad network successfully.

• Information Systems Review
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• v.16 no.1
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• pp.17-35
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• 2014

Social collaboration and knowledge sharing among experts are the key characteristics of information system development projects. But the difficulty and complexity of communication may be the cause of the project failures. This study analyzes the influence of on-line social networking as communication system in information system development projects. A model has been developed to relate system, knowledge and social factors of on-line social networking to the performance of project members. Transactive Memory System (TMS), describing knowledge sharing process in human relationship, is used as a mediator. The analysis concludes that knowledge and social characteristics have positive effect on the members' performance, implying that the use of mobile devices and PCs as a social communication tool can be an effective way to enhance the possibility of project success.

• International Journal of Human Ecology
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• v.10 no.2
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• pp.71-78
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• 2009

Efforts were made to improve the efficiency of college education through the use of information technology. This paper investigates student perceptions of a lecture club provided on a social networking website. For the empirical study, the instructor ran a lecture club for two consecutive semesters on Cyworld (www.cyworld.co.kr), a popular website among Korean youth. The research subjects were students enrolled in a Popular Culture & Fashion class. A questionnaire was distributed on the last day of the lectures. After excluding students with perfunctory responses and those who did not sign up for the community website, a total number of 297 questionnaires were used for analysis. Descriptive statistics, Pearson correlation analysis, one-way ANOVA analysis, Duncan test, and t-test were carried out, with the SPSS for Windows 12.0 being used for statistical analysis. The findings show that most students subscribed to the website and responded with a favorable attitude that the lecture club was helpful.

• The Journal of Asian Finance, Economics and Business
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• v.4 no.3
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• pp.85-94
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• 2017

The paper examines critical factors affecting consumer behavioral intentions in accepting online health communication through social networking sites. Unlike recent research under this topic, the paper assimilates some components of service quality dimensions and consumer behavior theories. The paper employs factor analysis and structural equation modelling analysis with latent variables to identify critical factors from the survey data collected from Korean consumers. The results of the study identifies three major constructs: consumer needs for health information, the perceived value of tangible attributes of health information providers, and the perceived value of intangible attributes of health information providers. The results show that consumer needs for health information and the tangible and intangible attributes of health information providers should be considered as important antecedents of accepting online health communication through social networking sites. The findings suggest that the success of online health communication via social networking sites largely depends on the tangible and intangible attributes of health information providers.

• Asia pacific journal of information systems
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• v.22 no.3
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• pp.1-27
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• 2012

Many companies have recently become interested in using social networking sites such as Twitter and Facebook as a new channel to communicate with their customers. For example, companies often offer "special deals" (e.g., coupons, discounts, free samples, etc.) to their customers who participate in promotions or events on social networking sites. Companies often make important announcements on their products or services on social networking sites. By doing so, customers are encouraged to continue to have relationships with companies on social networking sites and to recommend the companies' presence on social networking sites to other potential customers. Moreover, customers who keep close relationships with companies on social networking sites often provide the companies with valuable suggestions and feedback. For instance, Starbucks has more than 2 million followers on Twitter, and often receive suggestions and feedback for their product offerings and services from the followers on Twitter. Although companies realize potential benefits of using social networking sites as a channel to communicate with their customers, it appears that many companies have difficulty forging long-lasting relationships with customers on social networking sites. It is often reported that many customers who had followed companies on Twitter later stopped following them for various reasons. Therefore, it is an important issue to understand what motivates customers to continue to keep relationships with companies on social networking sites. Nonetheless, due attention has yet paid to this issue until recently. This study intends to contribute to our understanding on customers' intention to continue to follow companies on Twitter and to spread positive word-of-mouth about companies on Twitter. Specifically, we identify seven potential factors that customers perceive as important in evaluating their experience with companies on Twitter. The seven factors include similarity, receptivity, interactivity, ubiquitous connectivity, enjoyment, usefulness and transparency. We posit that the seven perception factors can affect the two types of satisfaction, emotional and cognitive, which can in turn influence on customers' intention to follow companies on Twitter and to spread positive word-of-mouth about companies on Twitter. Research hypotheses formulated in this study were tested with data collected from a questionnaire survey administered to customers who had been following companies on Twitter. The data was analyzed with the partial least square (PLS) approach to structural equation modeling. The results of data analysis based on 177 usable responses were generally supportive of our predictions for the effects of the seven factors identified and the two types of satisfaction. In particular, out results suggest that emotional satisfaction was strongly influenced by perceived similarity, perceived receptivity, perceived enjoyment, and perceived transparency. Cognitive satisfaction was significantly influenced by perceived similarity, perceived interactivity, perceived enjoyment, and perceived transparency. While cognitive satisfaction was found to have significant and positive effects on both continued following and word-of-mouth intentions, emotional satisfaction had a significant and positive effect only on word-of-mouth intention.

• Journal of Information Technology Services
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• v.13 no.4
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• pp.189-203
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• 2014

With the evolution of Internet technologies and the increasing variety of Internet devices, advertisements in various web services have also expanded. Interactive web services often go hand in hand with effective advertisements for a business model. We estimated statistical parameters of the interactive web server for service monitoring and advertisement-effect. In the web pages, we integrated the plugins of social networking services (SNSs) (e.g. Facebook, Twitter) and an advertisement scheme (e.g. Google AdSense) that regards social name-directory contents. Empirical data analysis and statistical results are presented with the implementation of estimations of parameters (e.g. utilization-level and serviceability) and advertisements in a social networking name-directory service (http://ktrip.net or http://한국.net). We found that estimated parameters were applicable to service monitoring of web-server as well as to synthesis of advertisement-effect in our social-web name-directory service.

• Journal of Information Technology Applications and Management
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• v.20 no.2
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• pp.127-146
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• 2013

The online social networking services (SNS) have been growing as the means of communication. In this study, we investigated word-of-mouth (WOM) effect under the SNS environment and evaluated the impact of message sender's influence on the WOM effect. Especially, this study focused on the betweenness centrality calculated through the social network analysis (SNA) of SNS network information, and proposed it as the measure of WOM message sender's influence, SNA may provide more accurate and objective measures than subjective self-reporting survey method. Fifty-one Facebook users responded to each of their four Facebook friends, who had been selected based on their betweenness centrality, Statistical analyses were performed using the responses and the betweenness centralities of the Facebook friends. The results showed that the direction (positive vs, negative) of a WOM message in SNS had an impact on the attitude of the message receiver toward the product. Moreover, the betweenness centrality of the message sender as well as his/her opinion leadership had a moderating effect on the WOM effect. Opinion leadership is a measure that has been frequently used for indicating the influence of WOM message sender in the previous studies. Considering the result that the betweenness centrality of the message sender was Significantly correlated to his/her opinion leadership, the betweenness centrality can be used for indicating the influence of WOM message sender.

• Journal of Communications and Networks
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• v.17 no.2
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• pp.126-132
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• 2015

In mobile computing research area, it is highly desirable to understand the characteristics of user movement so that the user friendly location aware services could be rendered effectively. Location based social networks (LBSNs) have flourished recently and are of great potential for movement behavior exploration and datadriven application design. While there have been some efforts on user check-in movement behavior in LBSNs, they lack comprehensive analysis of social influence on them. To this end, the social-spatial influence and social-temporal influence are analyzed synthetically in this paper based on the related information exposed in LBSNs. The check-in movement behaviors of users are found to be affected by their social friendships both from spatial and temporal dimensions. Furthermore, a probabilistic model of user mobile behavior is proposed, incorporating the comprehensive social influence model with extent personal preference model. The experimental results validate that our proposed model can improve prediction accuracy compared to the state-of-the-art social historical model considering temporal information (SHM+T), which mainly studies the temporal cyclic patterns and uses them to model user mobility, while being with affordable complexity.

• International Journal of Computer Science & Network Security
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• v.22 no.3
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• pp.396-404
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• 2022

Online social networks contain a large amount of data that can be converted into valuable and insightful information. Text mining approaches allow exploring large-scale data efficiently. Therefore, this study reviews the recent literature on text mining in online social networks in a way that produces valid and valuable knowledge for further research. The review identifies text mining techniques used in social networking, the data used, tools, and the challenges. Research questions were formulated, then search strategy and selection criteria were defined, followed by the analysis of each paper to extract the data relevant to the research questions. The result shows that the most social media platforms used as a source of the data are Twitter and Facebook. The most common text mining technique were sentiment analysis and topic modeling. Classification and clustering were the most common approaches applied by the studies. The challenges include the need for processing with huge volumes of data, the noise, and the dynamic of the data. The study explores the recent development in text mining approaches in social networking by providing state and general view of work done in this research area.

• Journal of Information Technology Services
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• v.11 no.2
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• pp.319-337
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• 2012

To stress the importance of privacy in social networking, I presented an analysis on how information control and information management vulnerability influence trust and privacy concerns in social networking, and how trust and privacy concerns influence the sustainable usage intention of social network services. I also analyzed the factors affecting privacy concerns to present the method to alleviate social network users' concerns about privacy. Information collection control, information processing control and information management vulnerability were chosen and analyzed as the factors affecting privacy concerns. The results showed that information collection control and information management vulnerability significantly affected trust and privacy concerns; and information processing control did not significantly affect privacy concerns. The relationship between trust and privacy concerns, and sustainable usage intention was statistically significant; and the relationship between trust and expansion of communication channels was also statistically significant.