• Journal of Communications and Networks
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• v.17 no.1
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• pp.67-74
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• 2015

In this paper, we propose a web-based content syndication system in which users can easily choose Internet protocol television (IPTV) contents. This system generates personalized content guide to provide a list of IPTV contents with respect to users' interests and statistics information of their online social community. For this, IPTV contents and relevant metadata are collected from various sources and transformed. Then, the service and content metadata are processed by user metadata including audience measurement and community metadata. The metadata flows are separated from content flows of transport network. The implementation of IPTV content syndication system demonstrates how to arrange IPTV contents efficiently from content providers to the end user's screen. We also show that the user metadata including online community information are important for the system's performance and the user's satisfaction.

• Knowledge Management Research
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• v.15 no.1
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• pp.45-63
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• 2014

Due to advance in Internet technology, most tourists tend to search travel information in the Online Travel Communities(OTC). Given this new paradigm in terms of finding travel information, most of relevant studies in this area are still dealt with explaining tourists' behaviors regardless of the types of communications. Therefore, to overcome some limitations in previous studies, we attempt to examine the relationships between both formal and informal communications and tourists' behavioral changes in the OTC context. Specifically, we developed a research model by employing the PPM(push-pull-mooring) framework and tested it to understand why and how tourists' behaviors might be changed. Survey data collected from 323 online tourists were used to test the model the model using SEM(structural equation modeling). The implications of our empirical findings for both research and practice are discussed.

• Research in Community and Public Health Nursing
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• v.12 no.1
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• pp.150-167
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• 2001

This cross sectional study was done to find out the situation of computer online pornography access by 4th to 6th grade elementary school students. The subjects of this study were three elementary schools in Andong, which were selected randomly and 120 students randomly selected from 4th to 6th grade for a total of 360 students. The questionnaire was composed with the help of a community health nursing professor and through the reference review. The collected data were analysed by a PC SPSS 10.0 according to school grade and sex, an 12-test was implemented to learn what percent of students have computers and software which prohibit the viewing of online pornography, access motivation and time, content viewed, attitude after accessing the contents, and opinions about computer online pornography. The results of this study were as follows. 1. A total of 86.1% of students had computers at home. Most students placed computers in their own room, 78.9% of students had computer online communication experience. Higher grade students tended to have more experience of communications on the internet (P<0.001). Most students chatted on the internet once or twice a week and higher grade students tended to communicate online more frequently. (P<0.001). Most students used computers more than one hour a day (P<0.05). They used computers according to the following priorities: game, studying, listening to music, communications, chatting. 2. Regarding the frequency of going computer online more than seven times per week, male students showed a higher frequency than female students (P<0.05). Male students used computers more than one hour a day and female students less than half an hour (P<0.001). Male students mostly used computers to play computer games. On the other hand. female students used the computer to study, listen to music, and chat (P<0.001). 3. Regarding software installation to prevent access of computer online pornography, a total of 19.4% of students responded they installed one. but 80.6% didn't have any, 20.3% of students had accessed pornography, 46.6% of students responded. they first get to know to the computer online pornography through friends. 4. The reasons for accessing computer online pornography were ranked as follows: curiosity, interest, to release stress, and sex drive (P<0.05). Obscene contents were found in computer games, pictures, and video. Among these, pictures were the most common. 5. Regarding students' attitude toward online pornography, most students responded that they took much pleasure in the contents (P<0.05). 6. Regarding the question 'Does online pornography degrade morals and cause a sex crime', most students responded as 'no'. They also responded positively to the suggestion that the contents would be effective in preventing sex crimes and to release stress. 74.7% of students responded that males' access of the contents as proper but females' access as immoral. Regarding social efforts to protect students from this harmful environment. most replied that those efforts were unnecessary (P<0.001).

• Korean journal of communication and information
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• v.36
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• pp.423-462
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• 2006

This thesis explores the relationship between self-construal and online communication pattern. The Internet has changed human-to human communication. This study was to analyze how the self-construal was appeared and what relationship self-construal had with several variables: the motivation of the on-line community member, the on-line community's character, the communication behavior, the level of relationship between on-line community members- in on-line communities. The data was collected through the on-line survey research(N=79) and off-line survey research(N=255). The results lead us to conclude that the self-construals in on-line communities reflect two factors, which is similar to the off-line community. Nevertheless, self-construals in on-line communities are more complicated. In addition, uniqueness of self-construals which is the tendency to express the self and think connection with others critical is the important factor in on-line communities' communication. It is also central that the impact of self-construals on communication behavior is significant. I think this study was a small touch to explore cyber communication applying to self-consturals. And I hope this small touch would spread out and help to understand human communication as well as cyber communication.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.1
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• pp.105-113
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• 2017

Network externality can be defined as the effect that one user of a good or service has on the value of that product to other people. When a network externality is present, the value of a product or service is dependent on the number of others using it. There exist asymmetries in network externalities between the online and traditional offline marketing channels. Technological capabilities such as interactivity and real-time communications enable the creation of virtual communities. These user communities generate significant direct as well as indirect network externalities by creating added value through user ratings, reviews and feedback, which contributes to eliminate consumers' concern for buying products without the experience of 'touch and feel'. The offline channel offers much less scope for such community building, and consequently, almost no possibility for the creation of network externality. In this study, we analyze the effect of network externality on the competition between online and conventional offline marketing channels using game theory. To do this, we first set up a two-period game model to represent the competition between online and offline marketing channels under network externalities. Numerical analysis of the Nash equilibrium solutions of the game showed that the pricing strategies of online and offline channels heavily depend not only on the strength of network externality but on the relative efficiency of online channel. When the relative efficiency of online channel is high, the online channel can greatly benefit by the network externality. On the other hand, if the relative efficiency of online channel is low, the online channel may not benefit at all by the network externality.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.1B
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• pp.67-74
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• 2012

As the amount of information on the web augments, more efforts become subsequently necessary to find the information that users want. Researchers have studied and tried a number of methods to find the wanted information more accurately and effectively, It is hard to find the information that suits to what users really want to find on the web, because previous search methods have not reflected users' aim in searches. This paper suggests an effective method in information searching by reflecting web users' interests and aim in searches. This process involves distinguishing the reliable online communities and searching based on the distinguished communities. Newly suggested method shows an improvement in accuracy in comparison to the previous methods.

• Journal of Information Processing Systems
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• v.13 no.4
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• pp.987-999
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• 2017

Extraction of influential people from their respective domains has attained the attention of scholastic community during current epoch. This study introduces an innovative interaction strength metric for retrieval of the most influential users in the online social network. The interactive strength is measured by three factors, namely re-tweet strength, commencing intensity and mentioning density. In this article, we design a novel algorithm called IPRank that considers the communications from perspectives of followers and followees in order to mine and rank the most influential people based on proposed interaction strength metric. We conducted extensive experiments to evaluate the strength and rank of each user in the micro-blog network. The comparative analysis validates that IPRank discovered high ranked people in terms of interaction strength. While the prior algorithm placed some low influenced people at high rank. The proposed model uncovers influential people due to inclusion of a novel interaction strength metric that improves results significantly in contrast with prior algorithm.

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.719-723
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• 2007

It is very active that existing companies of providing e-Learning contents try to differentiate themselves through a business model based on Web 2.0. For instance, Etoos, online education website (www.etoos.com) run by SK Communications has made more space where students can participate in the Web 2.0 era and overhauled its website completely, turning into an open-ended one, which strengthens learning and fun in 2007. This study is to analyze the present state of e-Learning contents with representative e-learning sites for middle and high school students, to find that the development direction for next generation e-Learning lies in developing contents focusing on learners that can get effective feedback and drawing collective intelligence grounded on the essence of Web 2.0, and to suggest 'the project to form virtual private tutor community in e-Learning contents.'

• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.67-101
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• 2014

The use of new technology greatly shapes the marketing strategies used by companies to engage their consumers. Among these new technologies, social media is used to reach out to the organization's audience online. One of the most popular social media channels to date is the microblogging platform Twitter. With 500 million tweets sent on average daily, the microblogging platform is definitely a rich source of data for researchers, and a lucrative marketing medium for companies. Nonetheless, one of the challenges for companies in developing an effective Twitter campaign is the limited theoretical and empirical evidence on the proper organizational usage of Twitter despite its potential advantages for a firm's external communications. The current study aims to provide empirical evidence on how firms can utilize Twitter effectively in their marketing communications using the association between brand personality and brand engagement that several branding researchers propose. The study extends Aaker's previous empirical work on brand personality by applying the Brand Personality Scale to explore whether Twitter brand communities convey distinctive brand personalities online and its influence on the communities' level or intensity of consumer engagement and sentiment quality. Moreover, the moderating effect of the product involvement construct in consumer engagement is also measured. By collecting data for a period of eight weeks using the publicly available Twitter application programming interface (API) from 23 accounts of Twitter-verified business-to-consumer (B2C) brands, we analyze the validity of the paper's hypothesis by using computerized content analysis and opinion mining. The study is the first to compare Twitter marketing across organizations using the brand personality concept. It demonstrates a potential basis for Twitter strategies and discusses the benefits of these strategies, thus providing a framework of analysis for Twitter practice and strategic direction for companies developing their use of Twitter to communicate with their followers on this social media platform. This study has four specific research objectives. The first objective is to examine the applicability of brand personality dimensions used in marketing research to online brand communities on Twitter. The second is to establish a connection between the congruence of offline and online brand personalities in building a successful social media brand community. Third, we test the moderating effect of product involvement in the effect of brand personality on brand community engagement. Lastly, we investigate the sentiment quality of consumer messages to the firms that succeed in communicating their brands' personalities on Twitter.

• Journal of Korean Academy of Nursing
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• v.47 no.6
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• pp.806-816
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• 2017

Purpose: As comprehensive nursing care service has gradually expanded, it has become necessary to explore the various opinions about it. The purpose of this study is to explore the large amount of text data regarding comprehensive nursing care service extracted from online news and social media by applying a semantic network analysis. Methods: The web pages of the Korean Nurses Association (KNA) News, major daily newspapers, and Twitter were crawled by searching the keyword 'comprehensive nursing care service' using Python. A morphological analysis was performed using KoNLPy. Nodes on a 'comprehensive nursing care service' cluster were selected, and frequency, edge weight, and degree centrality were calculated and visualized with Gephi for the semantic network. Results: A total of 536 news pages and 464 tweets were analyzed. In the KNA News and major daily newspapers, 'nursing workforce' and 'nursing service' were highly rated in frequency, edge weight, and degree centrality. On Twitter, the most frequent nodes were 'National Health Insurance Service' and 'comprehensive nursing care service hospital.' The nodes with the highest edge weight were 'national health insurance,' 'wards without caregiver presence,' and 'caregiving costs.' 'National Health Insurance Service' was highest in degree centrality. Conclusion: This study provides an example of how to use atypical big data for a nursing issue through semantic network analysis to explore diverse perspectives surrounding the nursing community through various media sources. Applying semantic network analysis to online big data to gather information regarding various nursing issues would help to explore opinions for formulating and implementing nursing policies.