• Journal of Korean Library and Information Science Society
• /
• v.51 no.1
• /
• pp.179-200
• /
• 2020

This study aims to detect the knowledge structure of Korean studies using document co-citation analysis and text mining techniques. This study divided Korean corpus into two perspectives: Self-perceived and others' perceived Korean studies. To this end, we collected 10,929 humanities and social literature containing the word Korea or Korean as a keyword in the SCOPUS database. As a result of analysis, a total of 20 subdomains were found in the knowledge structure of self-perception, and a total of 14 subdomains were found in the knowledge structure of otherts' perception. Differences in Korean Studies between two are: First, the sub-area of self-perceived Korean studies is subdivided into more diverse areas than the sub-area of other-perceived Korean studies. Second the major areas in self-perceived Korean studies are customers and services, industrialization, multiculturalism, mental health, tourism, Korean language, environment, and cities. Others' perceptions of Korean Studies are grouped into domestic and foreign situations of Korea, Korean pop culture, Koreans as US immigrants, and Korean language. Finally, the common areas of self-perception and others' perception were mental health, tourism, Korean language, North-Korean defectors, and juvenile delinquency.

• Journal of the Korean Society for information Management
• /
• v.34 no.1
• /
• pp.177-195
• /
• 2017

This study attempts to infer research fronts using factor graph model based on heterogeneous features. The model suggested by this study infers research fronts having documents with the potential to be cited multiple times in the future. To this end, the documents are represented by bibliographic, network, and content features. Bibliographic features contain bibliographic information such as the number of authors, the number of institutions to which the authors belong, proceedings, the number of keywords the authors provide, funds, the number of references, the number of pages, and the journal impact factor. Network features include degree centrality, betweenness, and closeness among the document network. Content features include keywords from the title and abstract using keyphrase extraction techniques. The model learns these features of a publication and infers whether the document would be an RF using sum-product algorithm and junction tree algorithm on a factor graph. We experimentally demonstrate that when predicting RFs, the FG predicted more densely connected documents than those predicted by RFs constructed using a traditional bibliometric approach. Our results also indicate that FG-predicted documents exhibit stronger degrees of centrality and betweenness among RFs.

• Journal of the Korean Society for Library and Information Science
• /
• v.56 no.4
• /
• pp.223-238
• /
• 2022

The discovery of new historical resources is important in that it ensures the sustainability of future researches and enables new interpretations and expansion of them. The purpose of this study is to describe the characteristics of Chinese reports related to the newly discovered Gwangju Student Movement in terms of contents. In particular, since Chinese reports contain the same expressions and contents, we tried to figure out which materials from Korea and Japan were cited the same and what kind of relationships there were. The analysis results are as follows: First, the relationship between the reports on December 6, 1929, which were newly claimed as the first reports, and the Gwangju Student Movement was explained in detail. Although there is no specific indication that the distributing of manifesto and arresting case on December 6th in Seoul was related to the Gwangju Student Movement, it should be viewed as the first reports made to support it. Second, in previous studies, it was revealed that the contents known as the newspaper's own reports were actually quoted from previous reports in Korea or Japan. Third, it was confirmed that the contents of reports could be affected by the citation reports according to the political characteristics of the newspapers.

• Journal of Korean Library and Information Science Society
• /
• v.53 no.4
• /
• pp.143-162
• /
• 2022

Altmetrics is an alternative impact evaluation index that evaluates the social interest in the research performance of individuals or institutions in universities, research institutions, and research fund support institutions. This study empirically analyzed what kind of attention a papers of domestic library and information science researchers published in an international academic journal was receiving in the international community using Altmetric explorer. As a result of the analysis, 230 papers were tracked. The average Altmetric Attention Score (AAS) was 6.63, but there were 2 papers that received overwhelming attention (over 170 points) as they were mentioned in news report and Twitter. Second, there was a tendency for high AAS to appear in cases where a domestic researcher participated as a co-author and the main author belonged to an overseas institution, and in the case where the research funds were supported by foreign government agencies. In addition to the field of the library information science or information system, the papers classified as the field of public health service and education showed high AAS, and it was confirmed that these papers were published in the journals of various fields such as life science. Finally, it was confirmed that there was a weak correlation of r =0.25 between the AAS and the number of citations of the analyzed paper, but a strong correlation of r =0.68 between the number of Mendeley readers and the number of citations.

• Journal of the Korean Society for information Management
• /
• v.40 no.4
• /
• pp.73-94
• /
• 2023

This study empirically analyzed the proportion and method of Open Access (OA) in Korea, China, Japan, the United States, United Kingdom based on the Web of Science (WoS) papers. In addition, through the verification of the moderating effect, it was verified whether there is a difference in the effect of the amount of citation depending on the maturity of OA according to the countries or academic fields. As a result of the analysis, the proportion of OA was the highest in the UK at 62.7%, and the lowest in China at 38.0%. Second, the UK and US had a high proportion of indicators through self-archiving and APC-based Gold Hybrid, while only the Gold indicators were found to be prominent in China and Korea. Third, in the UK, US and Japan, the higher the proportion of OA, the greater the effect of inducing the citations. However, Korea (B=-0.00003, p<0.01) and China (B=-0.00001, p<0.01) showed the opposite direction. In addition, in most academic fields, the OA proportion had an effect of inducing citation, but a negative effect was found in the engineering field (B=-0.00002, p<0.01).

• Journal of the Korean Society for Library and Information Science
• /
• v.55 no.1
• /
• pp.365-392
• /
• 2021

In order to assess the state of library and information science (LIS) research in Korea, the study analyzed bibliometric data of papers published in past 18 years in Korea Citation Index (KCI) and Social Science Citation Index (SSCI) journals. The analysis of study data, which consisted of 6,301 KCI journal papers with 26,474 citations and 86,727 SSCI journal papers with 1,196,961 citations from 2002 to 2020, involved comparison of research productivity and impact, collaboration trends, and key areas of research between domestic and international LIS scholars with normalizations by units of analysis for size differences. Even with size normalization, the study found a marked difference in citation patterns between domestic and international LIS research. Korean LIS authors were twice as productive as international LIS authors but a little over a half as impactful. The results also showed a much higher level of skewness in international research, where a fraction of top authors, institutions, and journals received a lion's share of citations. The trend of increasing co-authorship was much more pronounced among international publication, where the recent popularity of larger collaboration groups suggests multi-disciplinary and increasingly complex nature of modern LIS research in the world stage. The keyword analysis revealed a much more diverse subject area in international than domestic LIS research with a recent shift towards technology, such as big data, blockchain, and altmetrics. Keywords in SSCI journals also exhibited a less connection between popularity and impact than KCI keywords, where popular keywords did not necessarily correspond to impactful keywords.

• Journal of Digital Convergence
• /
• v.12 no.2
• /
• pp.143-149
• /
• 2014

Currently, despite the quantitative growth of domestic journal, objective and metric criterion to evaluate the contents and quality of those journals is inadequate. As a result, depending on a foreign citation index like SCI to evaluate the research result is causing some problems such as, thesis of an excellent standard being presented and published in foreign countries, thus, neglecting journals written in Korean. Hereat, the Korea Citation Index(KCI) is constructing a database of the journals published by academic associations; scientific paper information, articles information, and bibliographic, analyzing the quoting relation. Consequently, KCI is providing the basic information and the corresponding quoting relations of journals and papers on its webpage. This study compares the impact level of domestic accounting related journals by KCI and analyzes the network among journals using the cross-citation frequency from a social network analysis point of view. As a result, Accounting-related journals are now more desirable than the location in order to have a variety of interdisciplinary research needs to be encouraged. Through this exchange of other disciplines and actively made, which is the phase of apparent accounting-related journals expect to be greatly enhanced looks.

• Journal of the Korean Society for Library and Information Science
• /
• v.54 no.1
• /
• pp.325-341
• /
• 2020

This study used the Unpaywall API, one of the open tools to track the OA version, to empirically identify the OA of 3,905 papers that have been published by Korean corresponding authors since 2015 in international journals. As a result, the following facts were found. First, less than 30% of papers have been open accessed, and more than half of them were bronze OA. Secondly, the archiving site of the Green OA papers was found not to be domestic but mainly subject repositories or institutional repositories of overseas universities to which co-authors belong. Third, only 19.6% of research fund granted papers were open accessed and half of them were in the medical field. In contrast to the international trends in which the OA papers showed higher citations, the analyzed OA papers showed no higher citations than the non-OA papers.

• Journal of Wetlands Research
• /
• v.21 no.spc
• /
• pp.141-148
• /
• 2019

South Korea is a nation highly reliant on virtual water imports, which raises concerns of water crisis and food crisis at the national level. Virtual water and water footprint studies that consider the environment, social, and economic issues have been consistently addressed. However, there is a lack of Korean research, so the calculation method and comparison analysis are greatly dependent on foreign research results. The calculation results for Korean domestic agricultural products have been released in earnest since 2014. Thus, there has been an increase in comparison studies using domestic virtual water and water footprint results. This study identified the Korean agricultural and livestock water footprint research direction to determine the citation relationship trends. Domestic and foreign research results were analyzed from Korean water footprint related literature from the past 10 years. Therefore, a citation relationship diagram was formed from the literature analysis results. Virtual water and water footprint related research performance are provided in the appendix so researchers can utilize the various information related to this field in the future. In addition, national strategy policy making is expected to be presented for effective water resources management.

• Journal of the Korean Society for information Management
• /
• v.40 no.2
• /
• pp.59-80
• /
• 2023

Traditional models for categorizing researcher types have mostly utilized research output metrics. This study proposes a new model that classifies researchers based on the characteristics of research collaboration. The model uses only research collaboration indicators and does not rely on citation data, taking into account that citation impact is related to collaborative research. The model categorizes researchers into four types based on their collaborative research pattern and scope: Sparse & Wide (SW) type, Dense & Wide (DW) type, Dense & Narrow (DN) type, Sparse & Narrow (SN) type. When applied to the quantum metrology field, the proposed model was statistically verified to show differences in citation indicators and co-author network indicators according to the classified researcher types. The proposed researcher type classification model does not require citation information. Therefore, it is expected to be widely used in research management policies and research support services.