• 지식경영연구
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• 제11권2호
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• pp.17-35
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• 2010

As the internet has been used widely, many online communities have been appeared. Initially, many users used online communities for communication and information sharing. Recently, users start using online communities for building, maintaining, and extending social networks which they did in offline environments previously. The importance of online community is considered by many scholars and also companies to use it strategically. Therefore many studies have focused on exploring characteristics of online communities. Most of them have emphasized the importance of online community. Few study focuses on dynamics within online community. By using social network analysis (SNA), this study tries to explore dynamics of online community. Specially, By measuring the centrality of online community and tracing its changes, this study investigates how the relationships among participants in online communities have been changed over the time. Findings of this study indicate that, as participants has joined in an online community over the time, an opinion leader is appeared, and her/his power is changed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제4권4호
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• pp.547-559
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• 2010

As web-based online communities are rapidly growing, the agents in the communities need to know their measurable belief of trust for safe and successful interactions. In this paper, we propose a computational model of trust resulting from available feedbacks in online communities. The notion of trust can be defined as an aggregation of consensus given a set of past interactions. The average trust of an agent further represents the center of gravity of the distribution of its trustworthiness and untrustworthiness. Furthermore, we precisely describe the relationships among reputation, trust and average trust through concrete examples showing their computations. We apply our trust model to online social networks in order to show how trust mechanisms are involved in the rational purchasing decision-making of buyers and sellers, and we summarize our simulation results.

• 한국정보시스템학회지:정보시스템연구
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• 제33권1호
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• pp.45-68
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• 2024

Purpose This paper examines the role of local market-based communities in driving regional revitalization, using detailed analysis of online networks. We aim to dissect a local community's communication network, highlighting members with high engagement levels and exploring their characteristics. Our goal is to identify the conditions that allow local community networks to grow independently and to demonstrate how the activation of these networks contributes to regional revitalization. Design/methodology/approach We employ a mixed-methods approach, combining social network analysis with statistical techniques to investigate the structure of online communication networks. Specifically, we use ANOVA to determine the statistical significance of our findings, ensuring their reliability. To complement our quantitative data, we include qualitative insights from interviews, adding depth and context to our analysis. Findings Our results show that individuals with high centrality in the online network are crucial for maintaining active local communities. We find that leveraging local resources to create a supportive and adaptable environment is essential for the communities' sustainability and expansion. Importantly, our research draws a direct connection between the vitality of local community networks and the broader process of regional revitalization. We argue that energizing local communities is an effective way to address the risk of regional decline. By integrating quantitative analysis with qualitative feedback, this study contributes to the understanding of local market-based communities as key drivers of regional development. It emphasizes the importance of building vibrant, resourceful community networks to revitalize areas experiencing socio-economic challenges.

• 인터넷정보학회논문지
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• 제18권2호
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• pp.97-104
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• 2017

본 연구는 노령층의 온라인 커뮤니티 이용과 사회화 그리고 사회적 고립감 사이의 잠재적 관계에 대해 탐색해 보고자 했다. 위계적 회귀분석의 분석결과에 따르면, 온라인 커뮤니티 회원으로 구성된 개인적 네트워크의 크기와 질은 사회화에 긍정적인 영향을 미쳤으며 사회적 고립감 또한 저하시켰다. 그러나 온라인 커뮤니티의 회원들과의 오프라인 미팅의 유의미한 효과는 발견되지 않았다. 이에 더해, 온라인 커뮤니티를 이용하는 시간은 사회화로 매개되어 사회적 고립감에 유의미한 영향을 미쳤다. 이러한 연구결과는 제한된 사회적 관계로 인해 발생할 수 있는 심리적 문제들을 극복하는데 있어서 온라인 커뮤니티의 이용이 긍정적인 역할을 할 수 있음을 시사한다.

• 정보화정책
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• 제18권2호
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• pp.3-22
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• 2011

온라인 사회운동 연구에 있어 가장 근본적인 관심사는 인터넷의 확산이 기존 사회운동에 어떤 변화를 가져올 것인가라는 점이다. 연구자들의 관심은 우선 인터넷이 초래하는 운동의 주체와 전략에 대한 변화양상이다. 인터넷의 출현 이후, 지리적으로 산재된 개인들의 수평적 네트워크 혹은 개별 네트워크들이 연합한 네트워크가 운동의 주체로 활동하는 새로운 현상을 낳았다. 또한 일부 연구자들은 인터넷과 사회운동의 결합으로 인해 나타난 '새로운 집단행동 전술 및 전략'에 주목하였다. 온라인 사회운동의 증가는 자원동원, 집단정체성, 그리고 정치적 기회구조 등에 관한 기존 사회운동 이론에 있어도 새로운 해석을 요구하고 있다. 인터넷이 사회운동에 미친 영향, 그리고 그로 인한 변화양상에 대해서는 여전히 많은 논쟁이 진행 중이다. 초기 사이버 낙관론과 회의론 간의 논쟁은 물론이고, 이후 중범위적 시각에서 진행된 연구들 역시 인터넷의 영향력에 대해 서로 다른 입장을 보이고 있다. 이는 무엇보다 온라인 사회운동의 역사가 불과 10여년 밖에 되지 않아 충분한 사례연구와 데이터 축적이 이루어지지 않았기 때문이다. 향후에는 기술진화에 따른 온라인 사회운동의 변화와 비교연구에 더 많은 관심을 둘 필요가 있다. 또한 연구의 시각을 사회운동 내부에만 초점을 둘 것이 아니라 정치체제의 차원으로 확장해, 온라인 사회운동이 정치적 매개집단 그리고 나아가 민주주의 모델에 미치는 영향에 대해 분석할 필요가 있다.

• International Journal of Computer Science & Network Security
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• 제24권1호
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• pp.71-84
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• 2024

This paper presents a critical analysis of the current application of big data in higher education and how Learning Analytics (LA), and Educational Data Mining (EDM) are helping to shape learning in higher education institutions that have applied the concepts successfully. An extensive literature review of Learning Analytics, Educational Data Mining, Learning Management Systems, Informal Learning and Online Social Networks are presented to understand their usage and trends in higher education pedagogy taking advantage of 21st century educational technologies and platforms. The roles of and benefits of these technologies in teaching and learning are critically examined. Imperatively, this study provides vital information for education stakeholders on the significance of establishing a teaching and learning agenda that takes advantage of today's educational relevant technologies to promote teaching and learning while also acknowledging the difficulties of 21st-century learning. Aside from the roles and benefits of these technologies, the review highlights major challenges and research needs apparent in the use and application of these technologies. It appears that there is lack of research understanding in the challenges and utilization of data effectively for learning analytics, despite the massive educational data generated by high institutions. Also due to the growing importance of LA, there appears to be a serious lack of academic research that explore the application and impact of LA in high institution, especially in the context of informal online social network learning. In addition, high institution managers seem not to understand the emerging trends of LA which could be useful in the running of higher education. Though LA is viewed as a complex and expensive technology that will culturally change the future of high institution, the question that comes to mind is whether the use of LA in relation to informal learning in online social network is really what is expected? A study to analyze and evaluate the elements that influence high usage of OSN is also needed in the African context. It is high time African Universities paid attention to the application and use of these technologies to create a simplified learning approach occasioned by the use of these technologies.

• 정보처리학회논문지C
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• 제17C권1호
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• pp.15-26
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• 2010

'페이스북'이나 '마이스페이스'같은 소셜 네트워크는 사람들끼리 관심사를 공유하거나 인간관계를 유지 확장할 수 있는 유용한 도구로 인식되고 있다. 그러나 한편으로 소셜 네트워크를 통해 개인정보가 유출될 위험이 있으므로 이를 해결할 수 있는 방안이 필요하다. 기존 소셜 네트워크 사이트들이 접근 제어 방식을 통해 사용자 스스로 자신의 정보를 보호토록 하고 있으나 접근을 허용한 사람을 통해 제삼자로의 정보 유출이 가능하다는 점에서 효과적인 해결책이 되지 못한다. 온라인 소셜 네트워크의 특성 상 자신이 잘 알지 못하는 사람에게 정보 접근을 허용하는 경우가 자주 발생하는 데 여기에는 정보 유출의 가능성이 내포되어 있다. 이러한 문제에 대한 해결책으로 타인에 대한 신뢰도에 기반을 둔 접근제어 방법이 사용될 수 있으나 이러한 방식 또한 정보 유출의 객관적 위험성을 반영하지 못한다는 한계를 가진다. 이에 본 논문은 이러한 문제에 대한 해결책으로 신뢰도와 정보 유출 위험도를 합성한 지표를 기반으로 접근 제어를 수행하는 방법을 제안하였으며, 다양한 실험을 통해 정보 유출 위험도가 온라인 소셜 네트워크에서의 접근 제어에서 중요한 역할을 할 수 있음을 보였다.

• International Journal of Costume and Fashion
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• 제13권2호
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• pp.15-29
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• 2013

Today's technology enables consumers to trade millions of dollars, conduct online banking, access entertainment, and do countless other activities at the click of a button. Online social networks (OSN) have become a cultural phenomenon that allows for individualistic consumerism. Consumers are increasingly utilizing OSN to share ideas, build communities, and contact fellow consumers who are similar to themselves. The relevance of online communities to the music is immense especially because musicians are now using social media to build global audiences. Not only is information about music and performance disseminated online, but musical commodities are sold and traded online. Online music communities allow consumers to elect and create new identities online through the purchase of subcultural commodities. Given the growing economic importance of online music communities it is important to get a holistic view of subcultural communities online. This study utilized content analysis of online music community websites using the Netnography methodology as developed by Kozinet for data collection to analyze consumers' purchasing and consumption behavior of subcultural commodities online as related to the formation of subcultural identities. Findings showed that subcultural items are predominantly purchased online, especially digital music, and there is a need for more custom craft items. The authors presented a new conceptual taxonomy of online subcultural consumer classifications based on online behavior patterns.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2016년도 추계학술발표대회
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• pp.196-198
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• 2016

Online social networking sites such as MySpace, Facebook, Twitter are becoming very preeminent, and the quantities of their users are escalating very quickly. Due to the significant escalation of security vulnerabilities in social networks, user's confidentiality, authenticity, and privacy have been affected too. In this paper, a short study of online social network attacks is presented in order to identify the problems and impact of the attacks on World Wide Web (WWW).

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.3935-3949
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• 2021

With the rapid development of Internet and big data technology, various online social network platforms have been established, producing massive information every day. Hot topic discovery aims to dig out meaningful content that users commonly concern about from the massive information on the Internet. Most of the existing hot topic discovery methods focus on a single network data source, and can hardly grasp hot spots as a whole, nor meet the challenges of text sparsity and topic hotness evaluation in cross-network scenarios. This paper proposes a novel hot topic discovery method across social network based on an im-proved LDA model, which first integrates the text information from multiple social network platforms into a unified data set, then obtains the potential topic distribution in the text through the improved LDA model. Finally, it adopts a heat evaluation method based on the word frequency of topic label words to take the latent topic with the highest heat value as a hot topic. This paper obtains data from the online social networks and constructs a cross-network topic discovery data set. The experimental results demonstrate the superiority of the proposed method compared to baseline methods.