• Proceedings of the Korean Information Science Society Conference
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• 2002.10c
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• pp.475-477
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• 2002

네트워크 상의 사이버 공격에 대한 시뮬레이터 개발을 위해서는 다양한 네트워크 구성요소의 특성을 시뮬레이션 모델에 반영할 수 있어야 하며, 다양한 사이버 공격과 이를 방어하기 위한 보안대책들의 특성을 반영할 수 있어야 한다. 본 논문에서는 네트워크 상의 사이버 공격과 방어를 시뮬레이션 하기 위하여 다양한 공격과 방어기법을 표현하기 위해 공격 및 방어 DB를 설계하고, 시뮬레이션 수행시 행동을 표현할 actor를 설계하고, 이를 이용한 공격 및 방어 시나리오 DB를 설계하고, 이들을 이용한 시나리오 생성기를 설계한다. 본 논문에서 제시한 방법을 이용하여 다양한 네트워크 구조와 보안대책을 가진 네트워크에 대한 사이버 공격 및 방어 시뮬레이션이 가능하며, 이를 통하여 네트워크에 적용된 보안대책의 적절성 파악 및 사이버 공격으로 인한 네트워크의 피해 및 피해영향 파악 등으로 확장이 가능하며, 사이버 공격에 대한 적절한 보안대책을 수립하는데 도움을 줄 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.826-828
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• 2012

콘텐츠의 ID 기반으로 사용자가 원하는 콘텐츠를 네트워크 내에서 제공하기 위한 정보 중심 콘텐츠 네트워크에서 게이트웨이의 역할은 서비스 이용자, 콘텐츠 제공자와 같은 외부 인터페이스를 처리하여 콘텐츠의 발행과 서비스 제공에 이르는 전반적 사이클에 모두 관여된다. 본 연구에서는 정보 중심 네트워킹 처리를 위한 콘텐츠 게이트웨이의 설계 고려사항으로서 확장성과 유연성 그리고 가용성이 필요하며, 콘텐츠 게이트웨이와 연관된 Actor들과의 인터페이스를 통해서 서비스 이용자의 요청 처리 기능과 콘텐츠 발행 처리 기능 그리고 콘텐츠 ID 및 네트워크 관리 기능 구조에 대해서 논한다.

• Health Policy and Management
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• v.26 no.1
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• pp.51-62
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• 2016

Background: The publicness concept in healthcare has been built to its social consensus relying on historical context, with the result that the meaning of publicness has a great diversity and heterogeneous nature in Korea. Thus it needs to be addressed to clarify the meaning and boundary of the publicness concept in healthcare, so as to discuss its social implication. Methods: In order to investigate whether or how the publicness concept is used in healthcare, we conducted a text network analysis in 779 news articles from 8 Korean daily newspapers over a recent 5-year period. Results: The publicness concept was closely related to medicine and medical institution, and formed a conceptual network with public health, medicine, welfare, patient, government, Jin-ju city, and health. Keywords relating publicness tended to be similar between four major newspapers; however, the association with Jin-ju city, government, and society was noticeable in Kyunghyang Shinmun and Hankyoreh, and so was patient and service in Dong-A Ilbo. Conclusion: Publicness and medicine was closely associated, and government seemed to remain as a main actor for public interest. Publicness was related with a variety of actors and values, with its expanded boundary. The different contexts of publicness by newspapers might reflect each ideological inclination. The textual importance of publicness was relatively low in part, which suggests that publicness was used in a loose sense or as a routine.

• Journal of Science and Technology Studies
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• v.1 no.1 s.1
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• pp.201-234
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• 2001

Sociology(or social science in general) is often diagnosed as in the state of 'crisis' after the collapse of socialism and the erosion of national societies because of rapid globalization. This paper introduces some recent work within science and technology studies(STS) and discusses its potentials to reinvigorate sociology. Although sociologists have rarely regarded STS as contributing to 'mainstream' issues in sociology, an increasing number of STS writers and sociologists have recently started to notice such possibilities. One main reason of this recent change is that STS is no longer merely concerned to convey substantive findings about science and technology, but instead attempts to reconstruct key notions of sociology such as 'social', 'society' and 'agency'. It is in this respect that the discussion below aims to introduce, discuss, and assess the potential contribution of some recent work of STS to sociology. In particular, it is 'actor-network theory'(ANT) that explicitly attempts to examine and suggest the ways in which STS ran help innovate sociology. One major characteristics of ANT is to impute 'agency' to things(nonhumans) unlike traditional sociology. ANT argues that if sociology studies heterogeneous relationships between humans and nonhumans instead of human relations only, it can become once again a vigorous discipline which is able to provide alternative worlds central to the basis of sociology. So this paper focuses on, not the diverse approaches of STS, the characteristics of ANT and its potential contribution to sociology. The author concludes that ANT can not only rejuvenate sociology by implicating new forms of alternative worlds but also open the possibility to contribute to the democratic reformulation of human-nonhuman relationships.

• Journal of Science and Technology Studies
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• v.7 no.1
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• pp.67-90
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• 2007

Could STS throw another-colored light on the Hwang's Affair, the scientific fraud committed by Hwang Woo-Suk and his research team in Korea? And could analytic tools of STS unfold another meanings which have been overlooked in most of the traditionally social-sciences-oriented analyses? In this essay, I try to answer these questions by analyzing the Hwang's Affair in the view of STS, especially by using some concepts of actor-network theory(ANT): movement, translation and displacement. I want to say that the Hwang's Affair seems to be a part of normal scientific activity, not an abnormal phenomenon, and as an evidence, focus on the similarities of their life styles between "pure/real scientist" Louis Pasteur and "impure/political scientist" Hwang Woo-Suk. I try to mobilize some concepts of ANT, especially movement, and find out why scientists came to move toward the opposed direction on the pure/real-impure/political line. I suggest that there exists "laboratory politics" as the key factor in this bifurcation. My tentative conclusion is that Pasteur can take a position to make his great world, so-called the Pasteurian world, owing to the success of "double movement" in which he treated his laboratory as a fulcrum to lift up the world, but Hwang degrades himself to "ugly scientific politician" due to the loss of the momentum of his movement; Hwang treated his laboratory only as the symbolic resources and in turn failed to solidify material entities, his real political resources, even though he knew the importance of laboratory.

• Journal of Science and Technology Studies
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• v.18 no.2
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• pp.181-232
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• 2018

To explore the history of Korean engineers, one must navigate the field answering to the question of who engineers are. This is not an easy task because, behind the English expression of engineer, there are various names and even histories pertaining to technology related actors in East Asian countries including South Korea, and the meaning and status of these names are different from one another. Thus, the process and method of answering to the question of who engineers are becomes the path to understanding the history of Korean engineers. This study, therefore, attempts to suggest research questions that should be raised to study Korean engineers and to find research methodology suited for addressing those questions. Until now, not enough efforts have been made to create and expand interdisciplinary discussions and contacts for this area of study. This study has some theoretical difficulties of having to combine concepts with different problematique. Nevertheless, it aims to discuss how to conduct research, what questions should be posed to analyze the construction of Korean engineers and what research methodologies are suitable for such research, based on previous researches conducted in the field of social science. Answers to the quest are sought through genealogy, conceptual history, actor-network theory, and the notion of techno-national formation.

• Journal of Intelligence and Information Systems
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• v.20 no.4
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• pp.107-120
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• 2014

This study proposes a novel recommender system using the structural hole analysis to reflect qualitative and emotional information in recommendation process. Although collaborative filtering (CF) is known as the most popular recommendation algorithm, it has some limitations including scalability and sparsity problems. The scalability problem arises when the volume of users and items become quite large. It means that CF cannot scale up due to large computation time for finding neighbors from the user-item matrix as the number of users and items increases in real-world e-commerce sites. Sparsity is a common problem of most recommender systems due to the fact that users generally evaluate only a small portion of the whole items. In addition, the cold-start problem is the special case of the sparsity problem when users or items newly added to the system with no ratings at all. When the user's preference evaluation data is sparse, two users or items are unlikely to have common ratings, and finally, CF will predict ratings using a very limited number of similar users. Moreover, it may produces biased recommendations because similarity weights may be estimated using only a small portion of rating data. In this study, we suggest a novel limitation of the conventional CF. The limitation is that CF does not consider qualitative and emotional information about users in the recommendation process because it only utilizes user's preference scores of the user-item matrix. To address this novel limitation, this study proposes cluster-indexing CF model with the structural hole analysis for recommendations. In general, the structural hole means a location which connects two separate actors without any redundant connections in the network. The actor who occupies the structural hole can easily access to non-redundant, various and fresh information. Therefore, the actor who occupies the structural hole may be a important person in the focal network and he or she may be the representative person in the focal subgroup in the network. Thus, his or her characteristics may represent the general characteristics of the users in the focal subgroup. In this sense, we can distinguish friends and strangers of the focal user utilizing the structural hole analysis. This study uses the structural hole analysis to select structural holes in subgroups as an initial seeds for a cluster analysis. First, we gather data about users' preference ratings for items and their social network information. For gathering research data, we develop a data collection system. Then, we perform structural hole analysis and find structural holes of social network. Next, we use these structural holes as cluster centroids for the clustering algorithm. Finally, this study makes recommendations using CF within user's cluster, and compare the recommendation performances of comparative models. For implementing experiments of the proposed model, we composite the experimental results from two experiments. The first experiment is the structural hole analysis. For the first one, this study employs a software package for the analysis of social network data - UCINET version 6. The second one is for performing modified clustering, and CF using the result of the cluster analysis. We develop an experimental system using VBA (Visual Basic for Application) of Microsoft Excel 2007 for the second one. This study designs to analyzing clustering based on a novel similarity measure - Pearson correlation between user preference rating vectors for the modified clustering experiment. In addition, this study uses 'all-but-one' approach for the CF experiment. In order to validate the effectiveness of our proposed model, we apply three comparative types of CF models to the same dataset. The experimental results show that the proposed model outperforms the other comparative models. In especial, the proposed model significantly performs better than two comparative modes with the cluster analysis from the statistical significance test. However, the difference between the proposed model and the naive model does not have statistical significance.

• Journal of Korea Entertainment Industry Association
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• v.14 no.4
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• pp.169-186
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• 2020

This study selected 127 powerful Korean film producers, directors, and actors whose stable audience drawing power has been proven over the past seven years from 2013 to 2019, and viewed their network through social network analysis(SNA) to explain their power structure. It also explained the changes compared to the results of previous studies conducted on box office hits from 1998 to 2012. The producers who showed the highest audience drawing power over the past seven years were KANG Hae-jung, JANG Won-seok, LEE Eugene, HAN Jae-duk. BONG Joon-ho, KIM Yong-hwa, and RYOO Seung-wan as directors and SONG Kang-ho, HA Jung-woo, and HWANG Jung-min as actors were confirmed to exhibit the most stable audience drawing power. Meanwhile, the network formed by the 127 leading producers, filmmakers, and actors was analyzed based on closeness/ degree/eigenvector/betwenness centrality, and the result discovered a strong network involving JANG Won-seok, HAN Jae-duk, CHO Jin-woong, Don LEE, and HWANG Jung-min. This study is meaningful in that it included producers, the position which has never been discussed in previous local studies to analyze the network influencing star casting, and selected accurate box office hits by checking whether the concerned films actually reached break-even point rather than simply relying on the number of audiences or total revenue they garnered. Nonetheless, it left a hole to be filled in that it did not include the role of the management companies in the network. Therefore, a relevant follow-up discussion would be needed.

• Journal of Korea Game Society
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• v.16 no.5
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• pp.7-22
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• 2016

The risk is subjectively perceived by the subject to judge. In the case of the game, game organizations and watchdog groups also recognized differently occurrence probability and intensity of risk to form a physical relationships of the game with each. Thus, we look only at the risk of their own subjective opinion, the fundamental solution is not possible. In this paper, we conducted a study on the form, occurrence point, and generating processes of risk by analyzing the physical components that make up the network of the game based on ATN in order to confirm definitely the substance and the presence of the game risk. In view of ANT, the game and humans constitute a network through their ability to act as each actor. If the gamer does not clearly recognize the nature of the ability to act of the game, the reverse control and the excess flow occur through remediation properties of the game. Therefore, it requires a more in-depth study in the future with respect to complex structure and relationships of the game-gamer network.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.1
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• pp.231-258
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• 2018

This study attempted to identify dynamically changing structure and analyze factors of collaboration. In order to perform this study, 1,631 articles in SCI journals were collected, and 3,898 researchers' information were extracted. To examine the dynamics of collaboration networks, the co-authorship data collected from 2001 to 2015 were divided into three sets, and were analyzed with respect to each period. The results of this study were summed up as: 1) "Co-authorship of the last year" was entirely significant factors while research career was significant only in the period of 2 to 3. 2) It was found that "Influence of the researchers" and "Emergence of the researchers" were significant factors in the period of 2 to 3 and in the period of 1 to 2. 3) "Same institutions", "Same subject", and "Journal similarity" were significant factors in all periods.