• Annual Conference on Human and Language Technology
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• 2008.10a
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• pp.29-34
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• 2008

본고에서는 빈도 정보를 이용한 저자 판별 (authorship attribution) 기법을 한국어에 적용한 연구를 소개한다. 그 대상으로는 정형화된 장르인 신문 칼럼을, 구체적으로는 조선일보에 연재 중인 4인 칼럼니스트들의 각 40개 칼럼, 총 160개 칼럼 텍스트를 선정하였다. 이들에 대하여 어절, 음절, 형태소, 각 단위 2연쇄 등의 다양한 언어 단위들의 빈도 정보들을 이용한 저자 판별을 시도한 결과, 형태소 빈도를 기반으로 하여 최고 93%를 넘는 높은 예측 정확도를 얻을 수 있었다. 또한, 저자 개인 문체간의 거리도 빈도 정보로써 계량적 표상이 가능함을 보일 수 있었다. 이로써 빈도 분석과 같은 통계적, 계량적 방법을 통하여 한국어 텍스트에 대한 성공적인 저자 판별과 개인 문체의 정량화가 가능하다는 결론을 내릴 수 있다.

• Korean System Dynamics Review
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• v.17 no.3
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• pp.31-50
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• 2016

This study examines the basic conditions of joint authorship research activities in the Korean System Dynamics Review and points out the structural co-author network characteristics among co-authored papers based on the social network analysis(SNA) techniques. In specific, this study identifies the cooperative relationship of research papers in the Korean System Dynamics Review, knowledge formation, and knowledge propagation paths. The study results imply that Korean System Dynamics Review has exhibited the typical 'Steven's power law,' which is repeatedly observed among complex systems, and that knowledge structure centered upon and propagated around couples of researchers. Additionally, the study results present that there have been active personal exchanges among major researchers. In contrast, personal contacts among research groups and within groups seem relatively weak.

• Journal of Nutrition and Health
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• v.50 no.2
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• pp.201-201
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• 2017

• Korean Journal of Radiology
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• v.24 no.9
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• pp.924-925
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• 2023

• Journal of the Korean Society for Library and Information Science
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• v.52 no.3
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• pp.149-169
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• 2018

The purpose of this study is to provide an in-depth analysis on the research productivity and the research performance of the School of Biological Sciences' faculty at the S University by their co-authorships and further to identify any difference in the citedness by their co-authorships. For the years 2004-2013, a total of 1,135 publications, published by thirty-nine faculty members, were collected and their publication patterns were analyzed by co-authorships. For the years 2004-2016, the citations to the 1,135 publications were analyzed by co-authorships. Among the four co-authorship types, the total number of publications by the domestic and international co-authorships amounted to 832(73.3%), and the study also found a statistical difference in the citation performance, i.e., the average number of citations per paper by co-authorships (F =4.830, $p=0.003^{**}$).

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.90-94
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• 2006

The research about social network for analyzing human relationship has been steadily worked due to the importance in the social science field. It is also important that analyzing the relationship between researchers in the academic and research fields. Especially, the network by joint research or citation between researchers is useful to evaluating projects or making policy on academic and research fields. This paper describes a method that generates two kinds of researcher networks showing co-authorship and citation relationship between researchers based on national R&D reference information ontology. We infer pair of researchers in co-authorship or citation relationship by SPARQL query from the ontology which is composed of research outcomes and their participating researchers in RDF triples. By postprocessing, we construct researcher network which links researchers in co-authorship and citation relationship.

• The Journal of Korean Obstetrics and Gynecology
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• v.20 no.2
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• pp.188-195
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• 2007

Purpose: The purpose of this study was to analyze current status of the web-sites dealing with oriental obstetrics & gynecology in the internet, and to evaluate their quality and confidence of health information. Methods: It was selected 54 local sites by searching for such key words as menstrual pain. The evaluation tool consisted of six major classification (Content, Authorship, Purpose, Functionality, Feedback and Privacy). Results: In the evaluation of web-sites, the lowest and the highest scores were 7 and 19 out of 26, and the average score was 13.94. The scores of Purpose, Content, Feedback were higher than the average, but the scores of Authorship, Functionality, Privacy were lower than the average. Conclusion: There is a need to develop a high-quality information about latest, confidence, authorship of documents, and to prevent a exposure of privacy.

• Journal of the Korean Society for information Management
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• v.32 no.2
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• pp.167-192
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• 2015

The purpose of this research was to investigate the characteristics of library and information science (LIS) field in Asian countries, focusing on the case of Taiwan. In order to conduct this study, the obtained statistical data and co-authorship networks based on eight major LIS journals in Taiwan were analyzed and compared to the case of South Korea. In Taiwan like Korea, papers published by a single-author and 2 to 3 co-authors were the most common. The centrality analysis showed that leading professors in the national-level university in Taiwan have strong and distinctive ties in the network. Additional unique characteristics pertaining to collaboration in Taiwan include the existence of journals focused on practical aspects in the field of LIS and active research participation involving librarians who publish papers in these journals.

• Journal of the Korean Society for information Management
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• v.29 no.1
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• pp.115-134
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• 2012

The author co-citation analysis is generally based on the frequency of the first author because most citation databases include only the first author in the bibliographic information. In this sense, the purpose of this study is to provide a better knowledge structure by utilizing the multiple authorship of author co-citation analysis. To achieve the purpose of this study, four different data sets are prepared: (1) counting the first author, (2) counting all the author without limiting the total frequency, (3) counting all the author with limiting the total frequency, and (4) counting adjusted frequencies based on the order of author subscription. The findings of this study show that there are clear differences between the knowledge structure counting all the author and the one counting only the first author. In addition, depending on the different methods, there are subtle changes of cluster members for authors.

• Journal of the Korean Society for information Management
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• v.34 no.2
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• pp.7-26
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• 2017

There has been growing interest in the methods for measuring the credits of individual authors in multi-authored research papers in response to the increase of research collaboration. Having a good understanding for academic norms of individual discipline is essential to measure author credit effectively. However, many Korean universities do not consider different norms for determining the order of authors across disciplines. Rather, they tend to use a standardized method to assess the credits of authors in multi-authored papers. Therefore, this study presented some problems of applying a standardized method to measure author credits in multi-authored papers in economics. The findings of this study confirmed the frequent use of alphabetical author order in economics papers; however, many university guidelines for research evaluation do not take account the alphabetical authorship in measuring the credits of authors. The authors suggest the needs for (1) establishment of a clear definition for primary authors, (2) flexibility in assessment methods for author credit, and (3) empirical research on author credit.