[논문]SNA를 활용한 중국 과학연구 네트워크의 구조 및 특징 분석에 관한 연구

조나; 김형호

doi:10.14400/jdc.2020.18.6.121

SNA를 활용한 중국 과학연구 네트워크의 구조 및 특징 분석에 관한 연구
Structure and Characteristic Analysis of Chinese Scientific Research Network Based on the SNA 원문보기

디지털융복합연구 = Journal of digital convergence, v.18 no.6, 2020년, pp.121 - 132

조나 (중국 하택대학교 외국어학부) , 김형호 (세한대학교 항공교통물류학과)

초록
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본 연구는 사회 연결망 분석 기법(SNA)을 통하여 최근 10년간 중국대학의 과학연구 및 개발의 효율성 평가현황과 연구동향을 파악하는데 목적이 있다. 분석에 사용된 자료는 중국의 CNKI 학술 자료집에서 589개의 논문을 추출하여 과학 연구 개발 효율성 평가와 직접적으로 관련된 190개의 논문을 선택하여 분석하였다. 분석 결과 중국대학의 과학기술 연구 효율성 평가 현황, 연구 트렌드 파악, 과학 연구개발에 미치는 주요 요인 및 과학연구의 교류를 촉진하는 주요 요인을 확인할 수 있었다. 본 연구는 대학의 과학 연구 개발을 촉진하고, 과학 연구 관리를 강화하며 지식 교류를 촉진하는 긍정적인 의미를 제공할 수 있다. 이 연구는 실제 중국 연구 환경의 과학 연구 동향을 종합적으로 분석하는 데 한계가 있다. 후속 연구는 중국과 다른 나라의 동향을 비교할 필요가 있다.

Abstract ▼ AI-Helper

The purpose of this study is to identify the current status and research trends of the efficiency assessment of scientific research and development in Chinese universities over the last 10 years through social network analysis(SNA). The data used in the analysis were extracted from 589 papers from CNKI academic archives in China and analyzed among them 190 papers directly related to the evaluation of scientific research and development efficiency. The analysis showed that the present state of science and technology research efficiency assessment in Chinese universities, identifying research trends, major factors on scientific research and development and major factors promoting exchanges of scientific research. This study can provide positive meaning to facilitate the development of scientific research and development in universities, enhance scientific research management and promote knowledge exchange. This study has limitations in comprehensively analyzing scientific research trends in the actual Chinese research environment. Subsequent studies need to compare trends in China and other countries.

주제어

표/그림 (6)

그림 Fig. 1. Annual distribution of research literature
표 Table 1. A list of high frequency words for efficiency research in universities
그림 Fig. 2. The network structure diagram of research efficiency in Chinese colleges and universities
표 Table 2. Journal distribution of published literature
표 Table 3. The keywords network model degree centrality index
표 Table 4. The keywords network model Betweenness centrality index

AI 본문요약
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문제 정의

In the top five journals 1, 2 and 5 journals belong to science and technology journals, thus it can be seen that most related to the efficiency of the university of science andtechnology papers published in the journal of science and technology. This analysis shows that the quality of sci-tech journals can directly reflect the quality and level of scientific research achievements in colleges and universities.

제안 방법

Based on KH Coder3‘s function of visually displaying the relationships between text analysis objects, in order to more intuitively and clearly observe the relationships between keywords in the field of scientific research efficiency in Chinese universities. In this paper the keywords of the scientific research efficiency subject literature in colleges and universities will be sorted out, and then convert them into a TXT file and import the file into KHCoder3 software to construct a scientific research network structure diagram of Chinese colleges and universities.
The academic research on the scientific research activities of colleges and universities is also increasing gradually. This article takes the actual needs as a starting point, analyze the current the development process, development status and research hot spots of research literature related to scientific research efficiency in Chinese universities, research objectives are as follows: First, it helps the Chinese government and universities monitor the scientific research efficiency of universities in real time, so they can adjust the allocation of university scientific research resources in a timely and reasonable manner; Second, it can guide the Chinese government and universities to grasp the development trends and scientific research activities trend in Chinese universities; Third, it is helpful for foreign scholars to keep abreast of the development trend of scientific research in Chinese universities, also provides reference materials for scholars who study the comparative research of foreign and Chinese scientific research development.
This article uses SNA to analyze the hot spots of scholars in the field of scientific research efficiency in Chinese universities and colleges in recent ten years, and draws the following conclusions. First, Nodes such as malmquist index, efficiency, university, input-output efficiency, regional difference and dea are the main research hot spots of Chinese scientific research efficiency-related subject literature.
This article will use the SNA to China hownet (CNKI) collection of academic papers published from 2010 to 2019 of input keywords' efficiency of scientific research in colleges and universities' or 'efficiency of scientific research at the university of sorting, screening for nearly 10 years scholars of the popular research fields in the efficiency of scientific research in colleges and universities is analyzed, in order to reveal the development present situation and development trend of this field.
The social network analysis method (SNA) has the above characteristics. This article will use the social network analysis method (SNA) to collate and analyze the data of the papers published in China from 2010 to 2019 related to the efficiency of scientific research activities in colleges and universities. Build a visual network structure diagram to grasp the characteristics of time series distribution and periodical distribution of literature in the field of scientific research efficiency in Chinese universities; analyze the overall structure of the visual network, explore the research hotspots and trends in the field in recent years from 2010 to the present and changes in the subject of literature research in this field to provide references for scientific research management in colleges and universities.

대상 데이터

By entering keywords "scale-free network, scientific research" into CNKI, papers with less than 10 citations from 2010 to 2018 were selected as the final data.
In this article, 190 papers were searched in the CNKI database, and 254 keywords were obtained. 254 keywords were sorted out in Excel, and the network structure of scientific research in Chinese universities was studied from the perspective of the network by using SNA.
Keywords are the embodiment of the central content of the paper. In this article, 190 related papers were searched through CNKI database and 254 keywords were obtained. As shown in Table 1, this article collects and sorts keywords, and arranges the top 20 keywords as shown in Table 1.
And set the publication time as January 1st, 2010 and September 30st, 2019, and the retrieval time as October 2019 in the advanced search of CNKI database. The retrieval results showed that there are 589 related papers, excluding non-related literary theory and non-academic papers, and 190 valid papers were selected. After that, selected the keywords in the effective papers to use Excel for data statistics.

이론/모형

In this article, by using the social network analysis method, the thesis with the theme of "university scientific research efficiency" or "university scientific research efficiency" is regarded as a whole network, and the network structure characteristics of key words in the thesis are demonstrated through co-word analysis.

성능/효과

Wang used SNA to characteristics of seasonal Korean tourism itineraries of individual Chinese visitors were analyzed. The analysis showed that Seoul is the hub of Chinese travel to Korea, and the main visits of Chinese visitors are concentrated in Seoul, Busan, Jeju Island, Gyeongju, and Gangneung.[12].
The text data generated by network users were collected by using naver and daum search keywords. The results of analysis showed word frequency, n gra(2 gram) frequency, travel attributes, centrality, and structural equivalence in the networks of family travel and solo travel[11]. C.

후속연구

However, in the research process, this article selected a small number of specimens, failed to more comprehensive, more accurate analysis of the research efficiency of the real situation. Through the research on the field of scientific research efficiency of Chinese colleges and universities in the past ten years, we can see that colleges and universities have always dominated the field of scientific research management in China.

참고문헌 (18)

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원문보기 상세보기
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상세보기
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원문보기 상세보기
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