• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.90-92
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• 2017

Due to the popularity of social networks and the development of technology in mobile networking, the mobile social networks (MSNs) provide opportunities for the spread of information between mobile devices. As a result, understanding the information diffusion in the emerging MSNs is a critical issue. Many research studies have addressed diffusion minimization, which is a problem of how to find the proper initial k users who can effectively propagate as widely as possible in the minimum amount of time, similar to influence maximization. We address a study on association analysis among nodes in information diffusion and mobility pattern for mobile social networks. Experiments in our study were conducted in the Opportunistic Network Environment (ONE) simulator using GPS trace of mobile node, to show that the study results in MSNs. We also demonstrate that our experiments outperform other existing algorithms with various communication range and ratio of k influential nodes.

• Journal of Korea Entertainment Industry Association
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• v.5 no.4
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• pp.147-153
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• 2011

On 11 March 2011, earthquake occurred in Japan were left with the significant human and material damage. Among these, social media has emerged as a very useful communication channel by playing a important roles in the process of safety checking and disaster recovery. In fact, however, we have no specific response methods or systems to these occurrence of disaster in Korea. Therefore, we investigate the relevant literature in order to analyze the current status of foreign and domestic utilization of social media, and draw the ideal ways to use social media for responding to unpredictable disasters based on the relevant literature reviews. The results of this study are summarized as follows. First, Institutions such as Meteorological Administration or National Emergency Management Agency are able to utilize social media as the communication systems to public in emergency. Second, social media are able to used for building disaster information systems including location information such as emergency call for help or requests for dissemination materials. Lastly, online donation services via Facebook or Twitter are able to be provided. The findings have significant implications for official responsible for disaster response and academic researchers.

• Journal of Korean Library and Information Science Society
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• v.53 no.3
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• pp.263-285
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• 2022

This study presented the factor analysis on constructing the new factors affecting the middle school students' online learning behaviors from the questionnaires employed among middle school students. A total of 204 students participated and the data were collected in South Korea. The sample of middle school ninth-grade students was selected and used through purposive sampling. Findings from the factor analysis provided evidence for the eight-factor solution for the 35-items accounting for 66.15% of the shared variance. A wide range of factors has been considered to identify students' online learning behaviors. The appropriate experience and use of e-learning in the middle school period is also important as it will be a critical stepstone for future education. This research provides information that has been taken into account for advancing online learning to enhance the quality of e-learning systems for middle school students. The study results provided eight new factors affecting the middle school students' online learning behaviors; that is 1) communication using social media as a learning tool, 2) intention to share information using ICT, 3) addiction of technology, 4) adoption of technology, 5) seeking information using ICT, 6) use of social media learning, 7) information search using ICT, and 8) immersion of technology. This study confirmed that middle school students prefer communication using social media as a learning tool, and value intention to share information using ICT for the most part. The data obtained based on factor analysis can highlight the online learning behaviors towards a mixture of social media learning and ICT to ensure a new educational platform for the future of e-learning. This research expects to be useful for both middle schools of online learning to better understand students' online learning behaviors and design online learning environments and information professionals to better assist students who particularly need digital literacy.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.279-284
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• 2019

The purpose of this study is to investigate the direction of communication design through in-depth interviews on the topic of gender equality, which is an active theme of social issue happening worldwide, and to suggest a direction to provide better social issue communication direction. In order to do so, firstly, I researched case studies and investigated the characteristics of gender magazines such as If, Ferm and Womankind. Secondly, I conducted an empirical study of in-depth interviews to identify the emotional adjectives by women and men by different age groups from gender equality storytelling magazine experience. As a result, I was able to grasp two points necessary. First of all, for the gender equality content messages closely related to everyday stories level down the barrier and become easier to empathize with. Second of all, the more complex the social issues are, the more sustainable and credible if the content developed steadily and contingently. This study is meaningful in that it suggested a series of directions for communicating gender equality issues. Future research should complement the suggested directions for gender equality communication design and contribute to guiding further directions.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.337-351
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• 2022

With the full spread and rapid development of social media, the trend of decentralization of social media information propagation is becoming clearer day by day, and the segmentation of time by audiences using social media information is clearly progressing. Therefore, this study aims to study the influence relationship between social media attitudes toward fake news, social capital, risk perception, and discriminant intentions based on existing studies. Accordingly, the research model presented related research questions and organized a questionnaire to collect a total of 500 valid surveys. The SPSS 26.0 program and the AMOS 24.0 program were used to analyze the data. The research results are as follows. First, the more positive the user's attitude towards the fake news identification intention of social media, the more they want to use various methods or tools to identify the authenticity of online information. Second, the more positive the user's attitude towards social media fake news, the more aware of the potential threats social media fake news poses to their own physical, psychological, financial and so on. At the same time, by raising one's own awareness of the dangers, counterintelligence intentions against fake news on social media will also increase. Third, the richer the social capital the user has, the stronger the information literacy, and therefore the stronger the identification intention of social media fake news. Fourth, the higher the value of social capital Chinese users have, the greater the damage they have suffered from fake news, and the higher the risk awareness of fake news to protect their interests. Fifth, it means that Chinese users recognized information suspected of social media and took corresponding measures.

• Informatization Policy
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• v.18 no.3
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• pp.3-24
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• 2011

The purpose of this paper is to indicate possible future research directions for social network services(SNS) by reviewing past and recent trends in SNS studies. The framework used for the analysis is the New Media Evolutionary Model(NMEM) proposed by Wimmer and Dominick, a four-phase system for research on new media development. Although early forms of SNS emerged in the late 1990s, most research in this field has been published in the past five years. We searched for SNS-related articles published from 2006 to August 2011 from academic journal archives in information systems, communication, marketing, and other fields, and classified them according to the NMEM to analyze the current state of SNS research. Researchers in this field have so far focused on the first two phases of the model(the media itself and use of the media), but little research has been conducted on the third(effects of the media) and fourth phases(improvements in the media). Although SNS research is still in its early stages, we suggest the need for more studies on the effects of SNS and how it can be improved. Very few studies test existing theories or build new theories related to SNS. Thus, a more rigorous approach towards SNS research is warranted, and future research should focus on theory building and testing.

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.17-18
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• 2017

손쉽게 현 위치 정보를 공유하고 사용자 간 커뮤니케이션이 가능한 위치 기반 소셜 네트워크가 대중화되면서 장소 추천에 대한 연구가 활발히 진행되어 있다. 본 논문은 시간대별 사용자 선호도와 주요 활동 영역을 고려한 POI 추천 기법을 제안한다. 장소 카테고리별 사용자의 체크인(che-ck-in)정보를 시간대로 분할하여 시간에 따른 장소의 선호도를 판별하고 사용자의 과거 이력을 이용하여 사용자별 활동 영역을 선별한다. 장소의 선호도와 선별된 활동 영역에 기반하여 협업 필터링을 수행하여 POI를 추천한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.52-53
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• 2013

스마트 기기와 안드로이드 플랫폼의 급속한 보급은 모바일 애플리케이션들의 개발을 촉진하고 있으며, 게임, 소셜 네트워크 서비스 (SNS), 교육 등 다양한 도메인 분야에서 애플리케이션들이 개발되고 성공적인 사례도 발표되고 있다. 이동통신 칩과 결합된 GPS 수신기가 휴대폰 및 대부분의 스마트기기에 장착됨에 따라 위치 정보에 기반한 다양한 서비스가 활용되고 있다. 본 논문에서는 위치정보와 소셜 네트워크 서비스를 결합하여 가입자간 정보 공유 및 커뮤니케이션, 검색, 위치정보 등 다양한 비즈니스에 활용될 수 있는 위치기반 SNS 앱의 설계를 제안한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.147-148
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• 2017

빅데이터 분석은 데이터베이스에 잘 정리된 정형 데이터뿐 아니라 인터넷, 소셜 네트워크 서비스, 모바일 환경에서 생성되는 웹 문서, 이메일, 소셜 데이터 등 비정형 데이터를 효과적으로 분석하는 기술을 말한다. 메타분석은 여러 실증연구의 정량적인 결과를 통합과 분석을 통해 전체 결과를 조망할 수 있는 기회를 제공하는 통계적 통합 방법이다. 전자상거래 연구에서 혁신확산에 영향을 미치는 요인으로 상대적 이점, 적합성, 복잡성, 시험 가능성, 관찰 가능성, 편리성 그리고 커뮤니케이션 채널을 외부 요인으로 설정된 연구를 대상으로 하고자 한다. 다음으로 국내 주요 학회지에 게재된 혁신확산이론 관련연구에서 어떠한 요인들을 사용하고 있고 또한 이러한 외부요인들이 종속변수에 어느 정도의 설명력을 가지는지를 메타분석을 통해 알아보고자 한다. 이러한 연구모델을 바탕으로 학문적 실무적 의의를 논의하고자 한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.153-154
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• 2015

최근 스마트 기기의 발달과 정보통신기술의 발전은 트위터, 페이스북, 인스타그램 등의 소셜네트워크(social network service) 상에서 유통되는 정보량이 폭발적 증가하고 있다. 이러한 변화는 데이터화가 가속화되고 있는 현대사회에서 데이터의 가치는 점점 높아질 것으로 예상되며, 데이터로부터 가치 있는 정보와 통찰력을 효과적으로 이끌어내는 기업이 경쟁력 확보를 위한 핵심가치가 되었다. 글로벌 리서치 기관들은 빅 데이터를 2011년 이래로 최근 가장 주목받는 신기술로 지목해오고 있다. 따라서 대부분의 산업에서 기업들은 빅 데이터의 적용을 통해 가치 창출을 위한 노력을 기하고 있다. 본 연구에서는 다음 커뮤니케이션의 빅 데이터 분석도구인 소셜 매트릭스를 활용하여 키워드 분석을 통해 안드로이드와 애플 키워드 의미를 분석하고자 한다. 또한, 분석결과를 바탕으로 이론적 실무적 시사점을 제시하고자 한다.