• Journal of the Korea Convergence Society
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• v.12 no.12
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• pp.245-255
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• 2021

This study is an empirical study on how factors such as social factor, entertainment factor on the Wechat social media platform affect users' flow and addiction to use. Researchers thought that despite the increasing addiction of social media Wechat users, existing social media research is limited to service quality and satisfaction, so research on user flow and addiction is necessary. Therefore, the researchers try to through empirical analysis, the WeChat use to addiction path to social factor (social interactivity, payable) and entertainment factor (entertainment, life relevance), examine how WeChat user experience affects the use intention and satisfaction, and determine its role in the user's WeChat addiction and flow, and tested. The results of this study are expected to provide a new theoretical basis for future research on addiction use of social media.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.10
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• pp.499-508
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• 2016

According to spreading K-pop globally, the market size related to K-pop stars is increasingly growing at home and abroad. Recently, services and products having direct interaction with the star are emerging. This research aims to propose a new service using a smart, connected social robotic figure that can support interaction between fans and K-pop stars. For this study, we begin by exploring literature about K-pop culture. Also, we investigate cases that connect between fans and stars and then build the development directions for a new service. Based on these development directions, we extract feasible technology and its interaction elements through analysing the cases of social robots. Finally, we propose the social robotic figure service in this research. This service proposed in this study can create and enhance diverse bidirectional communication between fans and stars through employing a user-customized, smart, connected figure based on a IoT platform. This research contributes to approaches for sustainable advance of K-pop through applying IoT technology.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.05a
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• pp.335-356
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• 2017

본 연구에서는 4차 산업혁명에서 가장 중요하게 대두될 수 있는 융합R&D정책에 대해 소셜 네트워크 분석을 통해 새로운 대안을 제시하려고 한다. 연구장비, 연구성과의 자료들을 활용하여 연구장비 네트워크 분석을 실시하여 융합R&D의 특성 및 구조분석을 실시하며, 연구장비 공동활용 및 다학제 협력연구를 통해 창출될 수 있는 새로운 융합R&D정책에 대한 접근을 시도하려고 한다. 나아가, 연구개발과 사업화 사이에서 더욱 중요한 역할을 할 수 있는 분석과학기술에 대한 정책적 플랫폼 구축관점 대한 시사점을 찾아내려고 한다. 이를 위해 계량적 접근과 비계량적 접근을 동시에 활용하여 연구주제에 대한 타당성을 확보할 것이며, 앞으로 미래산업 및 유망기술에 대한 전략적 선별에 있어 일부 근거를 제시해줄 수 있을 것이다. 이러한 연구결과를 통해 우리나라 기초과학 및 기초과학인프라에 대한 발전적 정책방안과 융합연구 및 융합연구의 사업화에 대한 정책적 관점을 제시하도록 한다. 분석자료는 한국기초과학지원연구원(KBSI) 현황자료를 중심으로 살펴보며, 분석방법은 소셜네트워크분석(SNA:Socail Network Analysis)을 활용한다.

• Electronics and Telecommunications Trends
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• v.28 no.6
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• pp.217-230
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• 2013

본 논문은 열악한 환경의 중소기업들이 제품개발에 있어서 쉽게 접근, 활용할 수 있는 중소기업 기술지원 서비스로써 소셜매뉴팩처링플랫폼 구축을 위한 공공 서비스디자인에 관한 내용이다. 중소기업들이 안심하고 편리하게 구축된 각종 인프라들을 활용하여 글로벌 시장을 선도할 수 있는 혁신제품을 개발할 수 있는 환경을 제공하는데 그 목적이 있다. 특히, 중소기업이 가장 어려워하는 부분인 상용화 아이템 발굴, 제품디자인 및 시제품제작, 시험 검증 등을 지원하는 크라우드소싱 기반의 소셜매뉴팩처링플랫폼 등을 활용한 토털솔루션으로 기업기술지원용 공공 서비스 디자인 모델을 제시한다. 본 논문은 고객의 관점에서 사용자 친화적인 경쟁력을 갖도록 고객의 요구사항이나 행동패턴을 관찰, 분석하여 미래에 일어날 수 있는 서비스 형태와 기능을 디자인하여 고객 및 제공자에게 효율적이고 매력적인 서비스를 제공하도록 하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.129-130
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• 2016

빅 데이터 분석은 기존 데이터베이스 관리 도구로부터 데이터를 수집, 저장, 관리, 분석할 수 있는 역량을 말한다. 대부분의 빅 데이터 분석 기술 방법들은 기존 통계학과 전산학에서 사용되던 데이터 마이닝, 기계 학습, 자연 언어 처리, 패턴 인식 등이 해당된다. 최근 스마트 기기의 발달과 정보통신기술의 발전은 트위터, 페이스북, 인스타그램 등의 소셜 네트워크상에서 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. 본 연구에서는 다음 커뮤니케이션의 빅 데이터 분석도구인 소셜 매트릭스를 활용하여 키워드 분석을 통해 스마트폰 플랫폼 키워드 의미를 분석하고자 한다.

• International Commerce and Information Review
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• v.15 no.2
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• pp.387-410
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• 2013

The competition aspect of business has been transformed from competition among companies to competition among ecosystem, and has been grown to platform based business, which is defined as ecosystem among business. Coming to the spotlight with the advantages of platform business combined software and hardware like Apple, platform business have been emerging in many fields. In this research, we define platform and platform based business, and then review related researches. After this, we review four representative research methodologies which are Yin(2011)' s case analysis research, Eisenhardt(2007)' s case analysis research, Romano etc' s web based qualitative data analysis method(2003), and Creswll(2010)' s open coding technique. And then, we suggest this research' s natural methodology combined with the advantages of four research methodologies. Based on our research methodology, we choose three high commercialized categories, which are smartphone platform business, social platform business, and search engine platform business. And then, we choose seven companies in three categories with success cases & failure cases, and analysis each case in perspective of our research methodology. And then, we suggest critical success & failure elements. Based on our findings, we suggest three strategic elements for the longevity of platform based business. Finally, we suggest the limitations of our research and further research issues.

• Review of KIISC
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• v.22 no.2
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• pp.43-51
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• 2012

본 논문은 최근 스마트폰과 Social Network Service(SNS)의 활성화에 따라 이슈화되는 SNS 서비스 기술들과 최신 표준화 동향을 살펴본다. 먼저 SNS 서비스의 근간이 되는 스마트폰과 모바일 OS 기술을 포함하여 위치기반 서비스(LBS) 기술, 증강현실(AR) 기술들과 다양한 웹(WWW) 기술들을 살펴보고 또한 서비스 사업자별로 다양하게 제공되는 소셜 플랫폼 기술을 통하여 현재 SNS 서비스의 기술현황을 파악한 후 보다 향상된 서비스 제공을 위해서 진행 중인 기관 및 단체별 SNS 표준화 동향에 대해서 살펴본다.

• Journal of the Korea Convergence Society
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• v.11 no.2
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• pp.109-116
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• 2020

Social media is growing rapidly as a means of promoting artists' artworks and a channel for sales. However, since social media is not fundamentally a platform designed for trading, it has various limitations that make it difficult to ensure trust and security in carrying out transactions. In this paper, it is proposed interoperability between social media and blockchain-based smart contract system that can record and preserve the artist's profile, information related to artworks and details of the contract on the blockchain. The proposed interoperability allows artwork trading participants on social media to maintain mutual trust and to conduct the contract transparently. Also, the proposed interoperability consists of an API provided by the social media developer or an open source API without having to modify existing social media. This study is expected to contribute to the growth of the art trading market on social media by complementing the art trading practices on social media.

• Journal of KIISE
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• v.43 no.6
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• pp.621-626
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• 2016

Recursive query algorithm is used in many social network services, e.g., reachability queries in social networks. Recently, the size of social network data has increased as social network services evolve. As a result, it is almost impossible to use the recursive query algorithm on a single machine. In this paper, we implement recursive query on two popular in-memory distributed platforms, Spark and Twister, to solve this problem. We evaluate the performance of two implementations using 50 machines on Amazon EC2, and real-world data sets: LiveJournal and ClueWeb. The result shows that recursive query algorithm shows better performance on Spark for the Livejournal input data set with relatively high average degree, but smaller vertices. However, recursive query on Twister is superior to Spark for the ClueWeb input data set with relatively low average degree, but many vertices.

• Journal of Internet Computing and Services
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• v.18 no.1
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• pp.89-103
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• 2017

This paper analyzed the influence of government-owned social media's environmental characteristics on the level of users' active participation and types of message diffusion during government's crisis. The social media environment was categorized based on human interactivity and media interactivity. Users' active participation was measured based on amount of like/dislike and number of comments. User's comments were categorized through network analysis. This study found that the level of user's active participation was high on the information-provider participation type and the relationship-oriented participation type. The level of user's active participation was low on the information-provider type and the limited platform. The analysis of message diffusion type showed that a restrictive rational opinion type was found for the limited platform and diffusive or restrictive emotional opinion types were found for other types of social media environment. This study found that during MERS crisis, the government did not provide messages suitable for the social media environment, and the media environment influenced users' participation and comments. The government should provide user friendly social media environment by increasing interaction with users and should make efforts to communicate with users in crisis situation.