• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제15권8호
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• pp.601-605
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• 2009

최근 사진 공유 기반의 소셜 네트웍 서비스의 발달로 수백만 명의 사람들이 인터넷 공간에서 온라인 커뮤니티 활동에 참여하고 있다. 본 논문에서는 이러한 소셜 네트웍 서비스 환경에서 얼굴 사진에 주석 정보를 부여하고 이를 검색할 수 있는 효과적인 방법론을 제안한다. 지속적으로 이용자와 이미지가 증가하는 방대한 데이터베이스를 취급해야하기 때문에 인식률 뿐만 아니라 계산 복잡도가 매우 낮아야 한다. 본 논문에 이러한 문제를 해결하기 위해 온라인 학습과 사회적 관계를 이용한 다중 분류기를 제안한다. 실험결과를 통해 제안된 방법은 보편적으로 사용되는 서포트 백터 머신과 비교해 향상된 인식률과 낮은 계산 복잡도를 보여줌으로써 사용자의 주석 횟수를 줄이고, 사용자에게 빠른 응답을 할 수 있음을 보여준다.

• International journal of advanced smart convergence
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• 제11권2호
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• pp.95-101
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• 2022

The development of the 4th industry has increased social media, and the rise of COVID-19 has stimulated non-face-to-face services. People's consumption patterns are also changing a lot due to non-face-to-face services. In this paper, food content keywords are derived through social network-based semantic network analysis, emotions are analyzed, and keywords applied to food recommendation platforms are input. We collected food, influencer, and corona keyword analysis data through Textom. A lot of research has been done through online reviews of existing influencer content. However, there is a lack of research on keyword sentiment analysis provided by influencers rather than consumers and research perspectives. This paper uploads language and topics derived through online reviews of existing publications and subscribers, and goes beyond the limits used in marketing methods. By analyzing keywords that influencers suggest when uploading content, you can apply data that applies them to food recommendation platforms and applications.

• Journal of Information Science Theory and Practice
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• 제12권1호
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• pp.39-59
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• 2024

An online social network is a platform that is continuously expanding, which enables groups of people to share their views and communicate with one another using the Internet. The social relations among members of the public are significantly improved because of this gesture. Despite these advantages and opportunities, criminals are continuing to broaden their attempts to exploit people by making use of techniques and approaches designed to undermine and exploit their victims for criminal activities. The field of digital forensics, on the other hand, has made significant progress in reducing the impact of this risk. Even though most of these digital forensic investigation techniques are carried out manually, most of these methods are not usually appropriate for use with online social networks due to their complexity, growth in data volumes, and technical issues that are present in these environments. In both civil and criminal cases, including sexual harassment, intellectual property theft, cyberstalking, online terrorism, and cyberbullying, forensic investigations on social media platforms have become more crucial. This study explores the use of machine learning techniques for addressing criminal incidents on social media platforms, particularly during forensic investigations. In addition, it outlines some of the difficulties encountered by forensic investigators while investigating crimes on social networking sites.

• Journal of Information Technology Applications and Management
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• 제19권2호
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• pp.197-215
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• 2012

SNS has been recognized as a means of expanding social capital by promoting interaction and efficient communication among users. On the other hand, there are serious concerns on negative side of social network which is often called epidemics. Trust plays a critical role in controlling the spread of distorted information and vicious rumor as well as reducing uncertainties and risk from unreliable users in social network. This study focuses on what the antecedents of interpersonal trust are in social network. We performed online survey from 252 Twitter users and tested candidate antecedents which are chosen from previous literature. As a result, propensity to trust of trustor, ability and sincerity of trustee, intimacy between trustor and trustee significantly affected to the interpersonal trust in Twitter.

• 전자공학회논문지CI
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• 제48권3호
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• pp.18-26
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• 2011

최근 급성장하고 있는 소셜 네트워크 서비스는 인적 네트워크를 반영한 온라인 서비스로서 선거 유세, 기업 홍보 마케팅, 교육적 정보 공유, 의학적 지식 및 의견 교환 등 다양한 목적으로 사용되고 있다. 이 서비스는 공동의 관심사를 가진 사람들이 모여 자유롭게 정보와 의견을 교환하면서 친분관계를 형성하도록 하고, 자신의 프로파일과 친분관계에 있는 사람들을 공개함으로써 다른 사람의 인맥을 활용하여 자신의 관계를 확장시켜 나갈 수 있도록 한다. 그러나 정보의 개방과 공유를 기반으로 하는 소셜 네트워크 서비스는 프라이버시 침해나 피싱과 같은 많은 보안상의 문제를 야기 시킨다. 본 논문에서는 키링을 이용하여 소셜 네트워크에서 소규모 그룹의 통신을 보호하기 위한 키 관리 기법 및 프로토콜을 제시하였다.

• International Journal of Internet, Broadcasting and Communication
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• 제13권2호
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• pp.127-135
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• 2021

The goal of this study was to explore the use of multiple SNS platforms and determine whether the number of used platforms affects one's online self-presentations across the said platforms and if there is any difference in one's online and offline self-presentations based on how many SNS platforms are used. This work studied online self-presentations, compared the on/offline ones and tried to find out if the inconsistencies of one's own (observer's) self-presentations both online (across platforms) and on/offline affected the observer's impression formation (likability, trustworthiness and hypocrisy) of others. The study also aimed to find out if the impression of the others' inconsistency both online and offline would differ based on the level of intimacy between the observer and the discussant. Three levels of intimacy were studied in order to do this: friends, acquaintances and strangers (online-only friends). The results showed that the more platforms people used the more inconsistent their online self-presentations got. Even though the results of the study showed barely significant relationship between the number of SNS accounts and one's online and offline self-presentation, and partial connection between observer's inconsistent self-presentations and impression formation of others, interestingly enough, the results managed to find significant differences between the impressions based on the level of intimacy between the observer and the discussants.

• 응용통계연구
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• 제33권4호
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• pp.483-497
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• 2020

본 연구에서는 심층 신경망모형을 사용하여 KOSPI 100의 개별 종목인 기아차 및 신세계의 주가를 예측하였다. 예측변수로는 흔히 사용되었던 기술적 변수들과 함께 온라인 뉴스로부터 도출된 감성변수를 사용하였다. 특히 소셜 네트워크 분석을 활용하여 분류된 산업군에 특화된 감성사전을 구축한 후, 감성분석을 통하여 산업군에 속하는 각 기업들의 감성점수의 평균을 산업군 감성변수로 생성하였다. 여러 예측변수들의 조합으로 이루어진 모형들 중에서 기술적 변수와 산업군의 온라인 뉴스에 기초한 감성변수를 함께 사용하였을 때 우수한 예측력과 수익률을 보여주었다.

• 지능정보연구
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• 제15권1호
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• pp.87-102
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• 2009

최근 Web 2.0 발달과 더불어 블로그나 온라인 카페 등 웹 상의 네트워크화 된 정보 공간에 사용자가 자신의 개인적인 정보를 자유롭게 게재할 수 있도록 하는 서비스가 증가하면서, 이 사용자들 간의 관계에 초점을 맞춘 소셜 네트워크 분야의 연구가 활발히 이루어지고 있다. 이와 같은 사용자들은 단순히 사회적인 측면뿐만 아니라 교육, 정치, 경제 등의 다양한 분야의 가상의 커뮤니티를 형성함으로서 현대 사회의 주요한 한 부분으로 자리매김하고 있다. 하지만 많은 소셜 네트워크 서비스가 정보자원을 컴퓨터가 처리할 수 있는 의미적인 정보로 표현하고 있지 않기 때문에 서로 다른 도메인 간에 공유와 재사용이 제대로 이루어지지 않고 있다. 또한 사회적 개체들 간의 관계가 명확하게 정의되어 있지 않아 알려져 있지 않은 의미적 관계를 발견해내는 소셜 네트워크 분석에 어려움이 있다. 본 논문에서는 가상 커뮤니티의 사용자들이 업로드 한 사진 데이터를 이용하여 사진 속의 개체나 소유자들 간의 사회적 관계를 분석하기 위해 시맨틱 웹 기반의 소셜 네트워크 분석 시스템을 제안한다. 온톨로지를 기반으로 사진에서 추출된 얼굴 개체간의 관계와 이미 인맥 관계를 형성하고 있는 사람들의 정보적 연결성을 명확하게 정의하고 도메인 규칙을 활용하여 의미 있는 사회적 연결 관계를 추론한다. 최종적으로 이를 그래프로 시각화하여 사용자에게 제공함으로써 온라인 상에서 형성된 커뮤니티 내에서 효율적인 소셜 네트워크 분석(Social Network Analysis)을 도모하고 이를 기반으로 다양한 응용 분야에 활용하는 방법을 모색한다.

• 한국식품영양학회지
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• 제29권6호
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• pp.1050-1057
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• 2016

SNS (Social network service) characteristics are perceived to simplify use. We carried out empirical studies on these parameters to observe the impact on the image of catering SNS online by word-of-mouth. The subjects of the study were as follows: 32.3% (392 persons) 19 years old, 67.7% (821 persons) over 19 years, 51.0% (619 persons) in their 20s, 22.1% (268 persons) in their 30s, 17.6% in their 50s, and 9.3% (112 persons) over 50 years. After verifying the hypothesis proposed that SNS characteristics perceived the ease of use, the significant factor identified in usability were connectivity Speed (${\beta}=0.213$), playfulness (${\beta}=0.246$), information (${\beta}=0.115$), and reciprocity (${\beta}=0.357$). Dual reciprocity had the most impact. It was observed that a longer impact of these significant factors improved the feel and fun of use. If SNS companies cater to, quick and easy, diverse, reliable and latest information, they can increase the ease of use, and availability, depending on the goals. Also, significant factors in the SNS features and online word of mouth was playfulness (${\beta}=0.312$), information (${\beta}=0.207$), reciprocity (${\beta}=0.066$) and perceived ease of use, and usefulness (${\beta}=0.293$), double playfulness had the maximum impact. These features provided more fun, reliable information, and could quickly deliver the latest information. The more the perceived usefulness, and ease of use, higher was the online word-of-mouth effect. SNS usage characteristics of connectivity Speed did not show any statistical significance in online word-of-mouth. Thus, catering businesses need to find ways to increase the ease of use, make the usefulness multifaceted, constantly checking the catering information on the SNS and ensuring to get the latest information is from diverse and reliable sources. This would increase the fun for the customer making the SNS to actively be utilized as a marketing tool.

• 한국IT서비스학회지
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• 제11권3호
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• pp.17-38
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• 2012

Social network service(SNS), provided by social network sites such as Facebook, Twitter and Cyworld is rapidly growing in online business. Furthermore, many companies have growing interests in finding effective ways to use SNSs for their innovations, marketing and advertisement. In fact, firms have recognized the utility value of the SNS for their business. In this aspect, this study attempts to identify key factors influencing the intention to continuous use of SNSs. Based on the UTAUT(the Unified Theory of Acceptance and Usage of Technology)model, this study proposes the research model, including the effects of social network service characteristics(social relationship support, information sharing, image expression) and individual characteristics(self-disclosure, extroversion, familiarity) on performance expectancy as well as the moderating effect of perceived information security among UTAUT variables. The 412T sets of data collected in a survey were tested against the modeling using SEM using SmartPLS. Results indicated that social network service and individual characteristics had significant effect on performance expectancy with exception of self-disclosure. In addition, the moderating effect of perceived information security had significant effect. The results had important implications for firms providing SNSs hoping to develop a successful business model.