메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
Seok-Hyoung Lee (Korea Institute of Science and Technology) Seo-Young Jeong (Korea Institute of Science and Technology Information) Kwang-Young Kim (Korea Institute of Science and Technology)
저널정보
건국대학교 지식콘텐츠연구소 International Journal of Knowledge Content Development & Technology International Journal of Knowledge Content Development & Technology Vol.3, No.2
발행연도
2013.12
수록면
95 - 112 (18page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
In this paper, citation data that is cross?referenced among journals is established using reference data in CrossRef. Using the established citation data, cited information is created and using DDC classification information, journals are classified. Using this inter?journal citation information, subject classification and time information, the relationship among the journals is analyzed. In other words, the relationship among frequently cited journals is expressed with DDC classification, and whether the subject classification is inter?related to journals and whether the subject journals are relevant are analyzed by year. As a result, it is shown that most journals are co?related and that technology (600) in particular is strongly co?related to natural science and mathematics (500) and social sciences (300). However, the analysis of journals by year shows that researches in the field of language (400) are conducted by heavily citing natural science and mathematics (500) but not the other way around with only a few citations after the year 2000. It is shown that there could be fusion among disciplines of no direct relations to each other.

목차

ABSTRACT

1. Introduction

2. Related Works

3. Building the Citation Map

4. Analyzing the Citation Map

5. Conclusion

References

참고문헌 (26)

참고문헌 신청

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0