• 한국정보관리학회:학술대회논문집
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• 한국정보관리학회 2005년도 제12회 학술대회 논문집
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• pp.151-156
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• 2005

인터넷이라는 새로운 정보환경 하에서 이용자는 정보를 손쉽게 획득할 수 있으며 획득한 정보를 다양한 정보전달매체(온라인 커뮤니티, 유즈넷, 메일링리스트, 이메일)를 통해 다른 사람들과 정보를 공유한다. 본 연구는 정보획득 및 공유행태를 분석하고, 공유하는 정보가 이용자의 정보요구를 충족하는지에 대한 유용성을 평가하고자 한다.

• 지능정보연구
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• 제20권2호
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• pp.19-38
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• 2014

본 연구는 지식경영연구에서 비교적 적은 관심을 받아온 지식탐색행동인 지식브라우징(knowledge browsing)과 지식검색 (knowledge seeking)의 역할을 가상공동체 환경에서 조사하였다. 지식탐색행동이 가상공동체의식을 매개요인으로 지식공유의도와 가상공동체홍보에 양의 영향을 끼치는 선행요인으로 고려되었다. 연구가설들은 한 가상공동체의 회원들을 대상으로 한 설문조사를 기반으로 구조방정식모델을 사용하여 검증한 결과, 능동적 지식탐색행동은 가상공동체의식에 양의 관계를 보였고, 가상공동체의식은 지식공유의도와 공동체홍보에 양의 관계를 보였다. 실무자들은 본 연구를 통해 회원들의 지식탐색행동이 가상공동체의식을 함양하는 효과가 있고 결국, 지식공유활성화와 가상공동체 홍보로 이어질 수 있음을 이해할 수 있다. 따라서, 이러한 지식탐색행동을 보다 효과적으로 도울 수 있는 방안을 마련함으로써, 회원들이 가상공동체로부터 지식을 얻고, 다시 지식을 가상공동체에 공유하고 다른 사람들에게 공동체를 홍보하게 되는 가상공동체의 선순환적 발전을 꾀할 수 있다.

• International journal of advanced smart convergence
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• 제6권3호
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• pp.29-37
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• 2017

The current behavior recognition system don't match data formats between sensor data measured by user's sensor module or device. Therefore, it is necessary to support data processing, sharing and collaboration services between users and behavior recognition system in order to process sensor data of a large capacity, which is another formats. It is also necessary for real time interaction with users and behavior recognition system. To solve this problem, we propose fog cloud based behavior recognition system for human body sensor data processing. Fog cloud based behavior recognition system solve data standard formats in DbaaS (Database as a System) cloud by servicing fog cloud to solve heterogeneity of sensor data measured in user's sensor module or device. In addition, by placing fog cloud between users and cloud, proximity between users and servers is increased, allowing for real time interaction. Based on this, we propose behavior recognition system for user's behavior recognition and service to observers in collaborative environment. Based on the proposed system, it solves the problem of servers overload due to large sensor data and the inability of real time interaction due to non-proximity between users and servers. This shows the process of delivering behavior recognition services that are consistent and capable of real time interaction.

• Journal of Information Science Theory and Practice
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• 제6권3호
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• pp.25-36
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• 2018

Anonymity plays an increasingly important role on social media. This is reflected by more and more applications enabling anonymous interactions. However, do social media users behave different when they are anonymous? In our research, we investigated social media services meant for solely anonymous use (Jodel) and for widely spread non-anonymous sharing of pictures and videos (Instagram). This study examines the impact of anonymity on the behavior of users on Jodel compared to their non-anonymous use of Instagram as well as the differences between the user types: producer, consumer, and participant. Our approach is based on the uses and gratifications theory (U>) by E. Katz, specifically on the sought gratifications (motivations) of self-presentation, information, socialization, and entertainment. Since Jodel is mostly used in Germany, we developed an online survey in German. The questions addressed the three different user types and were subdivided according to the four motivation categories of the U>. In total 664 test persons completed the questionnaire. The results show that anonymity indeed influences users' usage behavior depending on user types and different U> categories.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권4호
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• pp.1192-1207
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• 2014

Dynamic spectrum sharing is a key technology to improve spectrum utilization in wireless networks. The elastic spectrum management provides a new opportunity for licensed primary users and unlicensed secondary users to efficiently utilize the scarce wireless resource. In this paper, we present a game-theoretic framework for dynamic spectrum allocation where the primary users rent the unutilized spectrum to the secondary users for a monetary profit. In reality, due to the ON-OFF behavior of the primary user, the quantity of spectrum that can be opportunistically shared by the secondary users is limited. We model this situation with the renewal theory and formulate the spectrum pricing scheme with the Bertrand game, taking into account the scarcity of the spectrum. By the Nash-equilibrium pricing scheme, each player in the game continually converges to a strategy that maximizes its own profit. We also investigate the impact of several properties, including channel quality and spectrum substitutability. Based on the equilibrium analysis, we finally propose a decentralized algorithm that leads the primary users to the Nash-equilibrium, called DST. The stability of the proposed algorithm in terms of convergence to the Nash equilibrium is also studied.

• 한국식생활문화학회지
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• 제34권2호
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• pp.159-167
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• 2019

The purpose of this study is to provide basic information to improve understanding of contemporary kimchi culture in Korea. Many Koreans are now purchasing kimchi at markets, while the proportion of self-preparation is gradually decreasing. This commodification tendency of kimchi is considered to be associated with changes in consumer's behavior and attitude. In this study, a linear regression and a logistic regression model were used to identify relationships between kimchi consumption behavior and household characteristics. The results showed that the probability of kimjang activity was positively related with family size, possession of a kimchi refrigerator, self-preparation practice, and the intensity of sharing behavior. I also found that kimchi consumption volume per capita of 'purchasing' household was greater than that of 'self-preparing ' or 'sharing-dependent' households, and that the number of family members was inversely related with kimchi consumption volume per capita. The inverse relationship between family size and kimchi consumption volume per capita is considered to be contrary to the widespread thoughts in Korea, which have been developed while experiencing kimchi preparation and consumption in traditional extended families. I think that the relationship comes from differences in menu varieties, which appear to vary with family size. This issue will be investigated in subsequent studies.

• Journal of Information Science Theory and Practice
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• 제6권2호
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• pp.46-61
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• 2018

The mobile social networking application Instagram is a well-known platform for sharing photos and videos. Since it is folksonomy-oriented, it provides the possibility for image indexing and knowledge representation through the assignment of hashtags to posted content. The purpose of this study is to analyze how Instagram users tag their pictures regarding different kinds of picture and hashtag categories. For such a content analysis, a distinction is made between Food, Pets, Selfies, Friends, Activity, Art, Fashion, Quotes (captioned photos), Landscape, and Architecture image categories as well as Content-relatedness (ofness, aboutness, and iconology), Emotiveness, Isness, Performativeness, Fakeness, "Insta"-Tags, and Sentences as hashtag categories. Altogether, 14,649 hashtags of 1,000 Instagram images were intellectually analyzed (100 pictures for each image category). Research questions are stated as follows: RQ1: Are there any differences in relative frequencies of hashtags in the picture categories? On average the number of hashtags per picture is 15. Lowest average values received the categories Selfie (average 10.9 tags per picture) and Friends (average 11.7 tags per picture); for highest, the categories Pet (average 18.6 tags), Fashion (average 17.6 tags), and Landscape (average 16.8 tags). RQ2: Given a picture category, what is the distribution of hashtag categories; and given a hashtag category, what is the distribution of picture categories? 60.20% of all hashtags were classified into the category Content-relatedness. Categories Emotiveness (about 4.38%) and Sentences (0.99%) were less often frequent. RQ3: Is there any association between image categories and hashtag categories? A statistically significant association between hashtag categories and image categories on Instagram exists, as a chi-square test of independence shows. This study enables a first broad overview on the tagging behavior of Instagram users and is not limited to a specific hashtag or picture motive, like previous studies.

• 정보화연구
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• 제11권4호
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• pp.471-483
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• 2014

본 연구에서는 사회네트워크 분석을 활용하여 소셜 미디어를 통해 이루어지는 관광목적지의 관광정보에 대한 공유 및 흐름에 대하여 살펴보고자 하였다. 이를 위해 트위터의 서울과 부산 관광에 대한 네트워크 그룹의 사용자 간에 이루어지는 정보공유와 교환 및 확산 관계를 비교하였다. 전체적(Global) 관점에서 트위터 네트워크의 정보 쏠림현상, 정보의 확산력 등을 도출하였다. 미시적(Node) 관점에서 트위터 내의 정보에 대한 영향력 있는 유저를 파악하여 정보의 흐름과 정보공유에 대한 특성을 파악하였다. 본 연구 결과를 통해 소셜 미디어 사용자들의 정보 탐색행동과 정보공유 및 확산 패턴을 이해할 수 있는 학문적 근거를 제시하였으며, 소셜 미디어를 단순한 제품 및 서비스의 홍보 수단이 아닌 궁극적으로 정보 수용자가 원하는 정보를 제공해 줄 수 있는 마케팅 도구로써의 활용 방안 제시하였다.

• 한국컴퓨터정보학회논문지
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• 제23권4호
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• pp.107-114
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• 2018

Recently, various wearable personal devices such as a smart watch have been developed and these personal devices are being miniaturized. The user desires to receive new services from personal devices as well as services that have been received from personal computers, anytime and anywhere. However, miniaturization of devices involves constraints on resources such as limited input and output and insufficient power. In order to solve these resource constraints, this paper proposes a resource collaboration system which provides a service by composing sharable resources in the resource sharing environment like IoT. the paper also propose a method to infer and recommend user-customized resources among various sharable resources. For this purpose, the paper defines an ontology for resource inference. This paper also classifies users behavior types based on a user model and then uses them for resource recommendation. The paper implements the proposed method as a prototype system on a personal device with limited resources developed for resource collaboration and shows the effectiveness of the proposed method by evaluating user satisfaction.

• 인터넷정보학회논문지
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• 제21권6호
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• pp.105-112
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• 2020

본 연구는 온라인 뉴스 문화를 만들고 있는 뉴스 공유자의 특성을 살펴보고자 하였다. 구체적으로 메신저에서 뉴스 공유자의 인구통계학적 특성, 전통 미디어와 뉴미디어를 통한 뉴스 이용행태를 밝히고, 뉴스 공유 행위에 미치는 요인을 살펴보고자 하였다. 본 연구는 <2018년 언론 수용자 의식조사> 데이터를 활용하여 분석하였다. 그 결과 첫째, 메신저에서 뉴스 공유자는 비공유자보다 연령층이 낮고, 학력이 높은 것으로 나타났다. 둘째, 뉴스 공유자는 비공유자보다 전통 미디어 뉴스를 적게 이용하는 반면, 뉴미디어 뉴스를 많이 이용하는 것으로 나타났다. 셋째, 포털, SNS, 온라인 동영상 플랫폼을 통한 뉴스 이용량과 메신저 뉴스 신뢰도는 뉴스 공유에 긍정적 영향을 미치는 반면, 연령과 포털 뉴스 신뢰도는 뉴스 공유에 부정적 영향을 미치는 것으로 나타났다. 이러한 연구결과를 바탕으로 이 연구의 함의 및 한계점, 후속 연구에 대한 제언을 논의하였다.