• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.6
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• pp.81-87
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• 2011

As blogs become an important medium through which to communicate and exchange information on the World Wide Web, phenomena in the blogosphere are treated as important social phenomena. The advent of the blogosphere may provide opportunities for establishing new business models targeting online world. The blogosphere changes over time. To establish successful business policies in the blogosphere, the changes in the characteristics of the blogosphere should be understood. In this paper, focusing on the influence of convenient features of the Korean blogosphere, we analyze the changes of the characteristics of the Korean blogosphere over time. We expect that the results of these analyses would be helpful in developing effective algorithms and in establishing new business models.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.3
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• pp.42-49
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• 2009

This paper addresses clustering of blogs and posts in blogosphere. First, we model blogosphere as a social network where blogs and posts correspond to nodes and interactions on posts by blogs corresponds to links. Next, for clustering in blogosphere, we employ LinkClus, a link based algorithm that finds clusters of nodes in a network effectively and efficiently. For more accurate clustering, we propose two refinements: (1) change of granularity from blogs to folders, and (2) removal of blogs and posts being highly likely to incur noises. Finally, we verify the effectiveness of the proposed approach by showing how the posts and blogs in the same cluster are similar to one another in terms of their contents.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.5
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• pp.385-389
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• 2009

As a new community forming environment, the blog platform enables sharing of the resources in blogosphere through active information exchange. Many researches have been performed to recommend appropriate resources to users from vast amounts of blog resources. As one of the solutions OSEM defines the knowledge base in the blogosphere with ontology for effectively modeling it. In this paper, we propose a technique of converting the knowledge base into the OWL ontology for sharing it on the semantic web environment. An inference method is then applied to the OWL ontology for recommending interest blog communities. For this aim, a mapping method is offered and then SWRL inference and SPARQL query based on the ontology are employed to extract interest blog communities.

• The KIPS Transactions:PartD
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• v.18D no.2
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• pp.101-110
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• 2011

According to the increasing use of blogs, a huge number of posts have appeared in a blogosphere. This causes web surfers to face difficulty in finding the quality posts in their search results. As a result, post ranking algorithms are required to help web serfers to effectively search for quality posts. Although there have been various algorithms proposed for web-page ranking, they are not directly applicable to post ranking since posts have their unique features different from those of web pages. In this paper, we propose post ranking algorithms that exploit actions performed by bloggers. We also evaluate the effectiveness of post ranking algorithms by performing extensive experiments using real-world blog data.

• Journal of Information Science Theory and Practice
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• v.1 no.1
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• pp.10-26
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• 2013

Domain transfer is a widely recognized problem for machine learning algorithms because models built upon one data domain generally do not perform well in another data domain. This is especially a challenge for tasks such as opinion classification, which often has to deal with insufficient quantities of labeled data. This study investigates the feasibility of self-training in dealing with the domain transfer problem in opinion classification via leveraging labeled data in non-target data domain(s) and unlabeled data in the target-domain. Specifically, self-training is evaluated for effectiveness in sparse data situations and feasibility for domain adaptation in opinion classification. Three types of Web content are tested: edited news articles, semi-structured movie reviews, and the informal and unstructured content of the blogosphere. Findings of this study suggest that, when there are limited labeled data, self-training is a promising approach for opinion classification, although the contributions vary across data domains. Significant improvement was demonstrated for the most challenging data domain-the blogosphere-when a domain transfer-based self-training strategy was implemented.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.868-869
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• 2010

본 논문은 행렬 분해 기법인 SVD를 이용하여 블로그 공간을 분석한다. 분석 결과 블로그 공간에서 커뮤니티들을 발견했고, 각 커뮤니티에 속한 영향력 있는 블로그와 포스트를 발견했다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.882-883
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• 2010

최근, 블로그 이용자의 수가 크게 증가함에 따라 블로그 공간에 대한 분석의 중요성이 점차 증가하고 있다. 본 논문에서는 블로그 공간의 보우타이 구조 분석을 통해 블로그 공간의 내부 구조의 특성을 파악한다. 더 나아가, 웹 공간과의 비교를 통해 블로그 공간만의 고유의 특성을 도출한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1272-1273
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• 2011

블로그 공간은 블로거들의 이동 및 블로거들의 행동에 의해 시간에 따라 지속적으로 변화한다. 이러한 블로그 공간의 변화를 분석함으로써 블로그 공간이 발전해 온 경향을 알 수 있으며, 나아가 향후 발전 과정을 예측할 수 있다. 본 논문에서는 한국 블로그 공간의 구조적 특성이 시간의 흐름에 따라 변화하는 모습을 심도 있게 분석한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1253-1254
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• 2011

본 논문에서는 블로그 공간을 텐서로 표현하고, 이를 분석한다. 분석 결과에 따르면, PARAFAC 분해를 통하여 특정 주제를 나타내는 커뮤니티들을 올바르게 파악할 수 있었으며, 각 커뮤니티에서 영향력 있는 블로그들과 키워드들, 그리고 권위 있는 포스트들을 식별할 수 있었다.

• Asia pacific journal of information systems
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• v.21 no.3
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• pp.1-18
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• 2011

Blog have become very popular with Internet users as one of the latest forms of online communication as well as knowledge sharing tools. However, blogs generate growing concerns regarding information privacy issues. This study, based on social exchange theory, presents results about bloggers' information sharing behavior. The 157 surveys are collected from a large university in the eastern U.S. The survey results indicate that trust which has four second order factors: economy based trust, trust in reciprocity, trust in other bloggers and trust in social interaction positively affects bloggers' information sharing behavior. However, online information privacy concerns have a negative impact on the relationship between trust and bloggers' information sharing behavior.