• Title/Summary/Keyword: Citation Network

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An Application of Patent Citation Network Analysis for Technology Marketing: A Case of a Public Research Institute (특허 인용 네트워크 분석을 활용한 기술마케팅의 효과성 제고방안에 관한 연구: 다성분 나노구조 코팅재료 공정기술 사례)

  • Seok, Myung Seop;Jo, Byeonghwi;Ji, Ilyong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.5
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    • pp.3210-3219
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    • 2015
  • This study attempts to search for potential users of patents developed by public research institutes, emphasizing the importance of identifying potential users for successful technology marketing. On the basis of the theoretical argument that technological development show path-dependence, we analyzed patent citation network of a technology developed by a Korean public research institute to achieve the purpose of this research. The result shows that the potential users identified from our method are different from the institute's initial expectation. Therefore, we argue that the method using patent citation network is useful and effective for public research institutes' technology marketing. Lastly we suggest a new framework for technology marketing process in public research institutes.

A Comparative Analysis of Ego-Centered Journal Citation Identities in Library and Information Science (국내 문헌정보학 주요 저널의 자아 인용정체성 분석)

  • Hea-Jin Kim
    • Journal of the Korean Society for information Management
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    • v.41 no.2
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    • pp.1-18
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    • 2024
  • This study aims to compare ego-centered journal citation identities among four domestic journals in library and information science. Ego-centered citation identity refers to the set of authors that an author frequently cites. The target journals for this study are Journal of the Korean Society for Library and Information Science (KSLIS), Journal of the Korean Biblia Society for Library and Information Science (KBIBLIA), Journal of Korean Library and Information Science Society (KLISS), and Journal of the Korean Society for Information Management (KOSIM). As a result of citation/citee ratio (CCR), self-citing rates (SCR), and journal co-cited analysis, the journal citation identities of four journals contained the other three journals besides the ego journal and JASIST. Furthermore, KOSIM had the most diverse range of journal citation identity and the four journals mattered the intra-journal information. KLISS showed the most unique cited journal network structure among the four journals.

Network Analysis using Cross-citation Frequency of Clothing & Textiles -Related Journals (의류 관련 학술지의 상호인용 빈도를 이용한 네트워크 분석)

  • Choi, Kyoung-Ho;Choi, Jin-Hee
    • Journal of Digital Convergence
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    • v.12 no.6
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    • pp.637-643
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    • 2014
  • The purpose of this study was twofold: 1) to analyze the impact factor of clothing and textile-related journals by utilizing the average number of cross-citation that evaluates the relative importance of an academic journal and 2) to provide a list of journals with higher impact factor by analyzing closeness and betweenness among individual journals through graph networks. To fulfill this, a total of 10 clothing and textile-related journals, which are accredited by National Research Foundation of Korea, were analyzed. For analysis of the average number of cross-citation, the targeted research papers were limited to those published between 2008 and 2011 and they were derived from the Korea Citation Index. The software used for network analysis was R ver. 2.15. The results of the study were as follow: First, 'The Korean Society of Knit Design' was indicated as the highest rate of self-citation, followed by 'Journal of the Korean Fashion & Costume Design Association.' Secondly, the average impact power of clothing & textile-related journals was relatively lower (0.681) compared to that (1.00) of 23 journals under the human ecology discipline. 'Korean Journal of Human Ecology' was found to have impact factor of 1.24, which was higher than the average impact factor of human ecology-related journals. Lastly, together with 'Journal of the Korean Society of Clothing and Textiles.'

Evolution and Development Process of Customer Value Research Using Network Analysis In Marketing : Focusing on SSCI Rank 20 Journals Using Author Co-Citation Analysis (연결망 분석을 이용한 마케팅 분야의 고객가치 연구의 진화 및 발전과정에 관한 연구 : 저자 동시 인용 분석방법을 이용한 SSCI 상위 20위권 저널을 대상으로)

  • Yoo, Kyungok;Kim, Hyang Mi;Kim, Jae Wook
    • Journal of the Korean Operations Research and Management Science Society
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    • v.38 no.2
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    • pp.1-24
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    • 2013
  • The research about customer value has developed over the past years in the marketing field. On the other hand, the stream of the idea has not fully been structured yet. It is the purpose of this research to present the process of development together with the intellectual structure in the field of customer value researches using "Author Co-citation Analysis" (ACA). For the purpose of the research, authors chosen were ranked in order of frequency according to their citations which were used for network analysis. Further, it was of advantage in finding the development process for this research from 1996 to 2011. The trend were set into three time-line groups/trends (1996~2000, 2001~2005, and 2006~2011) that were respectively analyzed. In conclusion, the research represents the intellectual structure of customer value in each period. The research having been tried, influenced a variable field in other marketing researches. While still, many researches limit their focus on a "one-way customer value, used by companies in the past and some in the present, many researches now have a wider perspective about the value and relationship of their customer and their company, together with the society at large.

Collaborative Research Network and Scientific Productivity: The Case of Korean Statisticians and Computer Scientists

  • Kwon, Ki-Seok;Kim, Jin-Guk
    • Asian Journal of Innovation and Policy
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    • v.6 no.1
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    • pp.85-93
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    • 2017
  • This paper focuses on the relationship between the characteristics of network and the productivity of scientists, which is rarely examined in previous studies. Utilizing a unique dataset from the Korean Citation Index (KCI), we examine the overall characteristics of the research network (e.g. distribution of nodes, density and mean distance), and analyze whether the network centrality is related to the scientific productivity. According to the results, firstly we have found that the collaborative research network of the Korean academics in the field of statistics and computer science is a scale-free network. Secondly, these research networks show a disciplinary difference. The network of statisticians is denser than that of computer scientists. In addition, computer scientists are located in a fragmented network compared to statisticians. Thirdly, with regard to the relationship between the researchers' network position and scientific productivity, a significant relation and their disciplinary difference have been observed. In particular, the degree centrality is the strongest predictor for the scientists' productivity. Based on these findings, some policy implications are put forward.

A Study on the Evaluation Indicators of Web Accessibility using Social Network Analysis (사회연결망분석을 활용한 웹 접근성 평가 지표 개발 방향 제안에 대한 연구)

  • Lee, Eun Suk;Cha, Kyung Jin
    • Smart Media Journal
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    • v.10 no.1
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    • pp.47-54
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    • 2021
  • Web accessibility is presented as a legal obligation to ensure users can access and use information and functions equally in the domestic public website sector. This study introduces the researcher network based on social network analysis (SNA) in order to show the citation relationship by identifying the network among researches in the field of web accessibility. Based on the analysis of the relationship and citation of academic researchers in the domestic web accessibility field, confirm the process of creating a research network. It is a visualization element that shows the citation relationship as well as the relationship and citation form between the studies as a network. Through the process of creating the network, and it can be confirmed and can be usefully used for future academic research network analysis. It is meaningful in terms of analysis for about 17 years from January 2000 to March 2017, a total of 50 papers published in journals registered by the National Research Foundation of Korea and candidate journals. By combining the evaluation metrics for each researcher, evaluation target, evaluation method, and evaluation result for web accessibility, and applying weights, identify the research direction and evaluation research trends in Korea's web accessibility field related to the relevant field and web accessibility evaluation research trends, and related to the researcher trend network.

Deep Learning Research Trends Analysis with Ego Centered Topic Citation Analysis (자아 중심 주제 인용분석을 활용한 딥러닝 연구동향 분석)

  • Lee, Jae Yun
    • Journal of the Korean Society for information Management
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    • v.34 no.4
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    • pp.7-32
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    • 2017
  • Recently, deep learning has been rapidly spreading as an innovative machine learning technique in various domains. This study explored the research trends of deep learning via modified ego centered topic citation analysis. To do that, a few seed documents were selected from among the retrieved documents with the keyword 'deep learning' from Web of Science, and the related documents were obtained through citation relations. Those papers citing seed documents were set as ego documents reflecting current research in the field of deep learning. Preliminary studies cited frequently in the ego documents were set as the citation identity documents that represents the specific themes in the field of deep learning. For ego documents which are the result of current research activities, some quantitative analysis methods including co-authorship network analysis were performed to identify major countries and research institutes. For the citation identity documents, co-citation analysis was conducted, and key literatures and key research themes were identified by investigating the citation image keywords, which are major keywords those citing the citation identity document clusters. Finally, we proposed and measured the citation growth index which reflects the growth trend of the citation influence on a specific topic, and showed the changes in the leading research themes in the field of deep learning.

The Influence of Authors' Centrality on Research Performance in a Large-Scale Collaborative Research Network (대규모 공동연구 네트워크에서 저자의 중심성이 연구성과에 미치는 영향)

  • Moon, Seonggu;Kim, Injai
    • Journal of Information Technology Services
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    • v.17 no.2
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    • pp.179-190
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    • 2018
  • This study is about the influence of authors' centrality on research outcomes in a large-scale collaborative research network. Using the social network analysis method, five types of centralities were derived. Six research outcomes of individual researchers were also derived through bibliographic information of the social science field for the last 10 years. A multivariate regression analysis was conducted to examine the causal relationship between the centrality and research outcome, and the effect of centrality on research outcomes was found to be statistically significant. The result of this study shows that the revised citation and H-index significantly influenced the authors' centrality. This result can imply that the centrality of the researcher can expect a considerable influence of the thesis as well as a certain level of productivity. The meaning of this study is to analyze the effect of centrality on the research outcomes of the large-scale collaborative research network in the past decade, and is carefully to suggest a guideline in order to support new research information services for active researchers and the advancement of collaborative research. This study has its limitation for interpreting the diverse academic fields of the social sciences in a uniform way. In future study, it is necessary to conduct studies using various weighted indices for network centrality in order to measure the influence of research.

Evolution of the intellectual structure of clothing and textiles literature - A bibliometric study of RJCC - (의류학 연구 지적구조의 변화 - RJCC 계량정보학적 인용분석 -)

  • Seon, Joon-Ho;Kim, Seong Eun;Lee, Hyun-Jung;Lee, Kyu-Hye
    • The Research Journal of the Costume Culture
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    • v.27 no.4
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    • pp.299-309
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    • 2019
  • Citation frequency is an important factor in evaluating journal quality and is used as a measure of journal impact. The citation index of a paper plays an important role in linking papers with groups of other academic papers, forming a huge and complex network. This study examines the intellectual structure of apparel research through the bibliometric citation analysis of The Research Journal of the Costume Culture (RJCC). In order to analyze the changes in the intellectual structure of the RJCC, we used the Korea Citation Index's (KCI) data (highly citing journals and highly cited journals). The NodeXL, a social network analysis tool, was used to examine the connection structure between journals. In order to identify the academic influence of the RJCC, we used the KCI journal citation index. Our findings indicate that the RJCC has a high centrality index among the clothing-oriented journals in the same life sciences field. A look at the journals citing the RJCC and the journals cited within the RJCC also showed that more journals of diverse fields have been recently linked through their citations. This suggests that a convergence of interdisciplinary research is underway in the field of clothing. As a result of examining international journals cited in the RJCC, it was confirmed that they were cited in prominent international journals in various fields.

An Analysis of the Intellectual Structure of the LIS Field: Using Journal Co-citation Analysis (학술지 동시인용분석을 이용한 문헌정보학 분야의 지적구조 분석)

  • Kim, Hyunjung
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.24 no.4
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    • pp.99-113
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    • 2013
  • The study investigated the intellectual structure of the library and information science field by journal co-citation analysis on thirty LIS journals with high journal impact factors. Patterns of journal-to-journal citation show the structure of journals in the field, visualized by a networked map of the journals. The result shows journals that can be considered as the core group and as the peripheral group, which corresponds to other studies for investigating the field's intellectual structure using other techniques, such as cluster analysis and multidimensional scaling.