• 한국콘텐츠학회논문지
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• 제9권6호
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• pp.62-71
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• 2009

본 연구는 한국영화산업 안에서 가장 많은 영향력을 끼치고 있는 것으로 여겨지는 '감독'과 '배우' 중 안정적인 관객 동원력을 가진 영화인들을 선출하고, 그 결과를 바탕으로 네트워크 분석을 통하여 가장 중심적 역할을 하는 감독을 찾고자 한다. 이를 위해 1998년에서 2007년까지 10년간 상영되어진 한국영화 약 700여개 작품 중 각각의 년도마다 상위 20위 안에 2번 이상 이름을 올린, 가장 안정적인 스타파워를 가진 ‘스타급 감독과 주연 배우’를 선출하였다. 또한 이를 바탕으로 UCINET 사회 연결망 분석 프로그램을 사용하여 다양한 중앙성 분석을 실시하였다. 결과적으로 감독 50인, 배우 103인을 선출되었다. 그 중 ‘김상진’ 감독이 장기간 가장 안정적인 관객동원력과 네트워크 관리능력을 성공적으로 결합하면서, 결과적으로 불확실성을 줄여주는 ‘스타’로서 존재하였다.

• 경영정보학연구
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• 제16권1호
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• pp.17-35
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• 2014

정보시스템 구축 프로젝트는 전문가의 지식과 경험을 공유하면서 진행되는 업무특성을 가지며, 커뮤니케이션의 문제가 실패의 근본 원인일 가능성이 있다. 본 연구에서는 휴대형 정보통신 기기 혹은 PC의 상시접속에 의해 언제나 어디서나 응답이 가능한 온라인 소셜네트워킹(On-line Social Networking)을 프로젝트 현장에서 커뮤니케이션 시스템으로 활용할 경우 프로젝트 구성원의 업무성과에 어떠한 영향을 미치는지 연구하고자 한다. 연구를 위한 구성으로 업무성과는 교류기억체계에 의해 영향을 받고, 교류기억체계는 온라인 소셜네트워킹의 특성에 의해 영향을 받는 구조방정식 모형을 수립하였다. 온라인 소셜네트워킹의 특성으로는 선행연구를 통해 시스템 특성, 지식 특성, 사회적 특성으로 분류하였다. 교류기억체계는 전문가의 위치, 전문가 인식에 기초한 신뢰, 그리고 전문가의 지식과 신뢰에 의한 업무-지식 조정의 과정을 통한 매개효과를 분석하였다. 구성원의 성과는 정보시스템 구축프로젝트에서 수행시간의 단축과 용이한 업무처리를 분석하였다. 가설의 검증 결과, 온라인 소셜네트워킹의 프로젝트에서의 활용은 구성원의 업무성과를 향상시키는 것으로 나타났다. 본 연구는 프로젝트 현장을 중심으로 연구를 진행한 것에 의의가 있으며, 프로젝트 관리자보다는 구성원에게 초점을 맞춘 특징이 있다.

• International Journal of Human Ecology
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• 제10권2호
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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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• 제4권3호
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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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• 제22권3호
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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.

• 한국IT서비스학회지
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• 제13권4호
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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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• 제20권2호
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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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• 제17권2호
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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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• 제22권3호
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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.

• 한국IT서비스학회지
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• 제11권2호
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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.