• 한국콘텐츠학회논문지
• /
• 제17권7호
• /
• pp.443-454
• /
• 2017

온라인에서 생성되는 관광지 관련 정보들을 활용한 관광지 이미지 분석은 관광소비자들의 관광목적지에 대한 인식을 설명할 수 있는 유의미한 정보를 도출할 수 있으며, 관광소비자들의 특정 관광지에 대한 이미지를 더욱 심층적으로 이해할 수 있다. 본 연구는 온라인 빅데이터를 활용한 대구의 관광지 이미지 실례연구를 실시하여 대구의 관광지 이미지를 분석하고 시사점을 도출하고자 하였다. 국내 포털 사이트를 대상으로 텍스트 마이닝과 사회연결망 분석을 실시하여, 대구의 관광지 이미지를 형성하는 관광지 이미지 요소들을 추출하고 영향 정도를 분석하였다. 연구 결과에 따르면 관광객 인프라시설과 문화와 예술, 역사 등의 관광지 이미지 형성 요소들이 대구의 관광지 이미지를 형성하는 주요한 요소들로 파악되었으며, 특히, '대구중구골목투어'가 전체적인 대구의 관광지 이미지 형성에 핵심적인 역할을 하는 것으로 파악되었다.

• 문화기술의 융합
• /
• 제6권1호
• /
• pp.301-312
• /
• 2020

본 연구는 사회적 관계 중심의 SNS 이용에 따른 SNS에서 자기표현을 사진 올리기라는 시각적 표현 방식을 중심으로 분석하고, SNS를 통한 다양한 온라인 네트워크 활동이 오프라인 모임 참여에 어떠한 영향을 미치는지 분석하고, 이에 따른 삶의 만족도를 비교, 분석해 보았다. 분석 결과, 사회적 관계 중심으로 SNS를 이용할수록 SNS에 사진 올리기라는 시각적 자기표현은 매우 활발한 것으로 나타나, SNS가 사회적 관계 유지 및 자기표현에 중요한 채널이라고 인식할수록 사회적 관계성을 나타내는 다양한 사진들을 올리는 것으로 나타났다. 또한, 사회적 관계 중심의 SNS 이용도가 높고, 친구들과 찍은 사진을 많이 올릴수록 오프라인의 모임 참여도가 높은 것으로 나타나, 온라인 네트워크를 통한 사회적 관계망 활동이 오프라인 모임 참여에도 유의미한 긍정적 영향을 미치는 것으로 나타났으며, 이에 따른 삶의 만족도도 높은 것으로 나타났다.

• 인터넷정보학회논문지
• /
• 제14권2호
• /
• pp.15-24
• /
• 2013

최근 다수의 소셜 네트워크가 빠르게 확산되었다. 그 중에서도 소셜 북마킹 시스템은 가장 널리 사용되는 것 중 하나이다. 소셜 북마킹 시스템은 사용자들이 온라인 자원에 태그를 부여해서 공유하고 관리할 수 있는 환경을 제공한다. 소셜 북마킹 시스템에서는 품질향상을 위해 태그와 시간 정보를 반영하여 개인에 특화된 추천을 할 수 있다. 본 논문에서는 가중치와 유사도 측정 과정에서 태그와 시간을 반영한 추천 시스템을 제안하였다. 또한 제안 방법론을 실제 데이터에 적용하였고, 실험결과 태그와 시간 정보를 함께 반영하였을 때 추천 성능이 향상됨을 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제8권2호
• /
• pp.583-600
• /
• 2014

Social media is considered a valuable platform for gathering and analyzing the collective and subconscious opinions of people in Internet and mobile environments, where they express, explicitly and implicitly, their daily preferences for brands and products. Extracting and tracking the various attitudes and concerns that people express through social media could enable us to categorize brands and decipher individuals' cognitive decision-making structure in their choice of brands. We investigate the cognitive network structure of consumers by building an inter-category map through the mining of big data. In so doing, we create an improved online recommendation model. Building on economic sociology theory, we suggest a framework for revealing collective preference by analyzing the patterns of brand names that users frequently mention in the online public sphere. We expect that our study will be useful for those conducting theoretical research on digital marketing strategies and doing practical work on branding strategies.

• 복식문화연구
• /
• 제28권3호
• /
• pp.330-343
• /
• 2020

This study defines the concept of the fashion meme, which has recently emerged as a fashion trend, influential fashion keyword. After analyzing the concepts and characteristics of traditional memes from prior studies, examples of fashion memes were collected from online community and social network services, while a literature study and case study analysis were conducted in parallel drawing on related articles and journals. Modern fashion memes refer to fashion-related symbols and fashion images that are spread online by word-of-mouth, together with fashion styles and items that spread as a result of being worn. Fashion memes in cyberspace are mainly spread through social network or message services, and sometimes combine text, images, videos, hashtags, and emoticons. Fashion memes are a type of collective action of the people in response to social problems in the world, and often involve humorous antics, satire, shock, and eccentricity. Shared fashion memes reflect the expression of personality expression and fun, and at the same time are used as an expression of designer and brand creativity and are integral to marketing. Fashion memes are classified into four types, based on two central axes as follows: non-commercial/commercial and anti-fashion/fashion-friendly. Unlike traditional memes, Internet-based fashion memes emphasize elements of transformation through creativity as well as imitation, which has become a persisting contemporary trend beyond temporary phenomena.

• International Journal of Computer Science & Network Security
• /
• 제21권7호
• /
• pp.305-316
• /
• 2021

The objective is to recognize the better opportunities from targeted reveal advertising, to show a banner ad to the consumer of online who is most expected to obtain a preferred action like signing up for a newsletter or buying a product. Discovering the most excellent commercial impression, it means the chance to exhibit an advertisement to a consumer needs the capability to calculate the probability that the consumer who perceives the advertisement on the users browser will acquire an accomplishment, that is the consumer will convert. On the other hand, conversion possibility assessment is a demanding process since there is tremendous data growth across different information dimensions and the adaptation event occurs infrequently. Retailers and manufacturers extensively employ the retail services from internet as part of a multichannel distribution and promotion strategy. The rate at which web site visitors transfer to consumers is low for online retail, out coming in high customer acquisition expenses. Approximately 96 percent of web site users concluded exclusive of no shopper purchase[1].This category of conversion rate is collected from the advertising of social media sites and pages that dataset must be estimating and assessing with the concept of big data clustering, which is used to group the particular age group of people along with their behavior. This makes to identify the proper consumer of the production which leads to improve the profitability of the concern.

• Journal of information and communication convergence engineering
• /
• 제9권1호
• /
• pp.1-5
• /
• 2011

Everyday, technology is evolved in many different disciplines. Computer and smart devices revolution take part of the evolved technology that continuously promising new features. Moreover, social networks services recently become widely popular, which most people in the world become a social-network-fond. In addition to the revolution of the evolved technology and social networks services, ubiquitousness is taking significant part in our daily lives. Although, there are many e-learning systems already existed, which use Internet technology along with a Web technology to provide education in various ways, in despite of that, there is no such existing system exploits the usefulness of smart devices along with the legacy of the online social networks besides the power of the ubiquitous computing technology. Therefore, we propose a smart device application, which fills the gap that has been missing in the recent contemporary era. It is an application that runs on smart devices particularly Smartphone devices; we call our system “Smart Device based Social E-learning System(SDES)”. We have preliminary implemented our system on Android OS. In this paper, we intentionally propose the system in order to ease the way people learn, to provide interactive accessibility in our system, and to utilize the advanced technology more wisely.

• 한국빅데이터학회지
• /
• 제4권1호
• /
• pp.99-118
• /
• 2019

본 연구는 소셜 미디어 참여 관련 연구 베타분석을 위해 네트워크 분석과 클러스터링 기법을 활용하였다. 주경로 분석 결과 37개의 주요 연구가 추출되었고 커뮤니티 관련 네트워크와 뉴 미디어 관련 네트워크 두 가지로 구분되었다. 연결망 분석과 클러스터링 결과 네가지 클러스터가 형성되었다. 본 연구는 학술 데이터를 활용해 연구 동향을 거시적으로 파악하며 그 방법론으로 네트워크 분석과 기계학습을 활용하였다는 학술적 의의를 가진다.

• 한국정보시스템학회지:정보시스템연구
• /
• 제24권1호
• /
• pp.67-94
• /
• 2015

Recently, the popularity of Social Network Service (SNS) along with the spread of smart phone, personal computer and tablet PC helps personal network to construct new forms of services in cyberspace. As such, SNS plays a significant role in constructing diverse online networks and there is a growing interest on SNS at societal level. In this vein, the purpose of the research was to find the factors affecting the continuance intention to use social network services. The major findings are summarized as follows. First, "System Quality", "Contents Quality", "Personal Innovativeness", "Self-Efficiency", "Honor Benefit" has significant effects on "Relationship Quality". Yet, "Economic Benefit" is not statistically significant on "Relationship Quality". Second, "Relationship Quality" has a significant effect on "Continuous Usage Intention". Last, our research discovered the relationship between exogenous variables which would serve as valuable inputs in the development of strategic guideline and plan for SNS companies and related services.

• 지식경영연구
• /
• 제19권1호
• /
• pp.19-39
• /
• 2018

With the development of information technology, social network services (SNS) such as Facebook and Twitter became popular and many users disclose their personal and sensitive information like private story, photographs and location information through posting and sharing. Despite the privacy concerns in SNSs, individuals continue to disclose their identity online. This phenomenon is called 'privacy paradox'. The purpose of this study is to examine the role of collective efficacy on self-disclosure in SNS context and to explain privacy paradox phenomenon. Drawing upon the communication privacy management theory, research model was developed and empirically tested with cross-sectional data from 306 individuals. Results revealed that collective efficacy has a direct positive effect on self-disclosure while privacy risk is negatively related to self-disclosure. However, privacy concern is not directly related to self-disclosure. The relationship between privacy concern and self-disclosure was moderated by collective efficacy.