동시출현단어 분석을 통한 타이포그래피 연구 동향 분석

박장호 ( Jangho Park ) 한국디자인트렌드학회 2022 한국디자인포럼 Vol.27 No.4

Background Trend analysis of typography research makes it possible to analyze the application of basic design theory. In the past, a typography-related meta-analysis only suggested a research classification to categorize research by topic, but it has a limit to objectively analyzing the research topic. Since the ‘co-occurrence analysis' of the selected theses is suitable for analyzing research topics, it is necessary to use it for typography research trends. Methods Based on the Core Collection of Web of Science and the KCI Journal Database, typography-related research papers were collected using typography-related keywords search. For the collected papers, research areas analysis and co-occurrence analysis were performed. Web of Science analysis report was used for research areas analysis and VOSviewer was for co-occurrence analysis and visualization. Result International typography-related research was evenly distributed in various fields such as art, humanities, literature, engineering, psychology, and architecture, while domestic typography-related research was found to be focused on design and art fields. As a result of co-occurrence analysis, studies in international journals tended to focus on the functional use of typography, whereas studies in domestic journals showed prominent studies on the visual expression of typography. Conclusion The research topic structured through co-occurrence analysis reveals specific topics that the existing design research classification cannot present, and it shows that typography research is being broadly expanded to various fields.

문화유산 관광지 UGC의 Co-occurrence 네트워크 분석: 시안의 5A 등급의 문화유산 관광지를 중심으로

주징,윤희정 한국관광연구학회 2023 관광연구저널 Vol.37 No.6

This study conducted a co-occurrence analysis using UGC (user-generated content) and big data to understand the cognitive characteristics and experience structure of tourists at cultural heritage sites. For this purpose, six cultural heritage sites of grade 5A in Xi 'an, China, were selected as the study sites, and qualitative review data (adjectives and nouns) and quantitative grade data from one of the representative online travel agencies in China were collected. The frequency analysis showed that the adjectives decent, good, big, and grand and the nouns history, experience, tour guide, recommendation, education, and child occurred with a high frequency. According to the co-occurrence network analysis, the score of 5 appeared the most with decent, good, and scenery, and the score of 1 with low, expensive, and entrance ticket price. The above research results are relevant in order to find out the core needs of cultural heritage tourists using qualitative and quantitative UGC data generated by tourists and are important to develop strategies related to the planning and management of cultural heritage destinations.

초등학생 독자의 설명하는 글 요약하기 양상 : 동시출현단어분석(co-occurrence analysis)을 활용하여

백희정,이경화 한국독서학회 2019 독서연구 Vol.0 No.51

This study tried to illustrate the aspects of reading and summarizing the expository texts described by elementary school readers. In response, we conducted co-occurrence analysis and visualized the summary written by fourth and sixth graders in elementary school. Based on the macro-rules of van Dijk(1980), the analysis results of statistically extracted data are as follows: First, readers in the fourth and sixth grades generally used the ‘delete and select’ rules based on the hierarchy of words, and the higher the grade, the more likely they were to choose the central word rather than focusing on a particular paragraph. Second, fourth and sixth graders rarely used the ‘generalization’ rule. In particular, fourth graders tended to write down detailed examples or delete all of them. Third, readers in the fourth and sixth grades used some ‘construct’ rules, but fourth grade appeared to be incomplete. Only a few cases of sixth grade were found. The study of learners at the training site can only explain the whole phenomenon when it is done by combining statistics-based objective data with qualitative analysis based on researchers' insights. This study is meaningful in that it has been able to objectively validate existing qualitative discussions and identify the summary patterns of large learners using co-occurrence analysis. 본 연구는 초등학교 독자가 설명하는 글을 읽고 요약을 하는 양상을 실증적으로 밝히고자 하였다. 이에 초등학교 4학년과 6학년 독자가 설명하는 글을 읽고 작성한 요약문을 대상으로 동시출현단어분석을 실시하고 네트워크로 시각화하였다. 통계적으로 추출한 자료를 van Dijk(1980)의 거시 규칙에 근거하여 분석한 결과는 다음과 같다. 첫째, 4학년과 6학년 독자는 대체로 단어의 위계에 따라 ‘삭제와 선택’ 규칙을 사용하였으며, 학년이 높을수록 특정 문단에 치우치지 않고 중심 단어를 선택하는 것으로 나타났다. 둘째, 4학년과 6학년 독자는 ‘일반화’ 규칙을 거의 사용하지 않았다. 특히, 4학년은 세부 예시를 그대로 옮겨 적거나, 모두 삭제하는 경향을 보였다. 셋째, 4학년과 6학년 독자는 ‘구성’ 규칙을 일부 사용하였으나, 4학년은 불완전한 형태로 나타났다. 6학년은 소수 사례만 발견되었다. 교육 현장에서의 독자 대상 연구는 통계를 기반으로 한 객관적인 자료와 연구자의 통찰에 따른 질적 분석이 혼합되어 수행될 때, 비로소 현상 전체를 설명할 수 있다. 본 연구는 동시출현단어분석을 활용하여 기존의 질적 논의를 객관적으로 검증하고, 대단위 독자의 요약하기 양상을 파악할 수 있었다는 점에서 시사점을 찾을 수 있다.

Average Analysis Method in Selecting Haralick’s Texture Features on Color Co-occurrence Matrix for Texture Based Image Retrieval

Abd Rasid Mamat,Mohd Khalid Awang,Norkhairani Abdul Rawi,Mohd. Isa Awang,Mohd Fadzil Abdul Kadir 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.2

Many textures based image retrieval researchers use global texture features for representing and retrieval of images from an image database. However, this leads to misrepresentation of local information leading to the inefficient image retrieval performance. This paper presents an approach to overcome the problem. The approach focuses on extracting local Haralick’s texture feature based on a predetermined region using the color co-occurrence matrix method, the selection of the ‘significant’ Haralik’s texture features and evaluation of the performance of the combination of the ‘significant’ features. The proposed method which is an Average Analysis and a well known method, Principal Component Analysis were applied to obtain ‘significant’ features. In order to compare the performance, a series of experiments were carried out for both methods, which is the proposed Average Analysis and the Principal Component Analysis. Experiments were performed on a 1000 selected images from the Coral image database which were divided into ten categories. Based on the experimental results, it is interesting to note that for the combination ‘significant’ features obtained from the proposed Average Analysis showed better retrieval performance compared to the Principal Component Analysis for almost all categories. This finding has an important implication in deciding the correct combination of ‘significant’ features for certain image properties. It has shown that the proposed method is able to produce less computational processing time due to a reduced amount of processing involved. The result is also compared to the previous researches and has shown an increase of an average precision from 8.5% to 26%.

한국과 미국 간 모바일 앱 리뷰의 감성과 토픽 차이에 관한 탐색적 비교 분석

조혁준(Hyukjun Cho),강주영(Juyoung Kang),정대용(DaeYong Jeong) 한국IT서비스학회 2016 한국IT서비스학회지 Vol.15 No.2

Smartphone use is rapidly spreading due to the advantage of being able to connect to the Internet anytime, anywhere--and mobile app development is developing accordingly. The characteristic of the mobile app market is the ability to launch one’s app into foreign markets with ease as long as the platform is the same. However, a large amount of prior research asserts that consumers behave differently depending on their culture and, from this perspective, various studies comparing the differences between consumer behaviors in different countries exist. Accordingly, this research, which uses online product reviews (OPRs) in order to analyze the cultural differences in consumer behavior comparatively by nationality, proposes to compare the U.S. and South Korea by selecting ten apps which were released in both countries in order to perform a sentimental analysis on the basis of star ratings and, based on those ratings, to interpret the sentiments in reviews. This research was carried out to determine whether, on the basis of ratings analysis, analysis of review contents for sentiment differences, analysis of LDA topic modeling, and co-occurrence analysis, actual differences in online reviews in South Korea and the U.S. exist due to cultural differences. The results confirm that the sentiments of reviews for both countries appear to be more negative than those of star ratings. Furthermore, while no great differences in high-raking review topics between the U.S. and South Korea were revealed through topic modeling and co-occurrence analyses, numerous differences in sentiment appeared-confirming that Koreans evaluated the mobile apps’ specialized functions, while Americans evaluated the mobile apps in their entirety. This research reveals that differences in sentiments regarding mobile app reviews due to cultural differences between Koreans and Americans can be seen through sentiment analysis and topic modeling, and, through co-occurrence analysis, that they were able to examine trends in review-writing for each country.

소셜 네트워크 분석을 활용한 초등국어교육 연구 동향 분석

하근희 우리말교육현장학회 2021 우리말교육현장연구 Vol.15 No.1

In this study, research trends in the field of elementary Korean education were analyzed using the social network analysis. Among the papers registered in the KCI, those related to elementary Korean education were collected. After pre-processing the collected data, the word co-occurrence network, co-authorship network, and research institute network were analyzed. As a result of the analysis research on elementary Korean education was centered on the “school,” the research fields were “textbooks,” “social/culture,” “curriculum,” “students,” and “contents” linked to “school.” Additionally, research trend has changed over time. Most of the co-authors were repetitively performed by two researchers, who were largely dependent on their institution. As a result of analyzing the research institute network, the Ewha Woman’s University showed the highest degree centrality, and the Korea National University of Education showed the highest betweenness centrality. The study of elementary Korean education was aimed at providing better Korean language education in “school.” In future, exchanges between research institutes and interdisciplinary research should be more active. 본 연구는 소셜 네트워크 분석의 방법을 활용하여 초등국어교육 분야의 연구 동향을 분석하는 것을 목적으로 한다. 이를 위하여, KCI에 등록된 논문 중 초등국어교육과 관련된 논문의 자료를 수집하였다. 수집한 자료를 대상으로 전처리를 실시한 후, 동시출현 단어 네트워크, 공저자 네트워크, 연구기관 네트워크를 분석하였다. 동시출현 단어 네트워크를 분석한 결과, 초등국어교육 연구는 ‘학교’를 중심으로 이루어져 왔다. 그리고 ‘학교’와 ‘교과서’, ‘사회‧문화’, ‘교육과정’, ‘학생’, ‘내용’이 연결되어 있었다. 또 시간의 흐름에 따라 주요 단어가 조금씩 달랐다. 저자 네트워크를 분석한 결과, 공저는 2명 사이에서 반복적으로 이루어지는 경우가 대부분이었으며 같은 연구기관에 속한 연구자 간에 이루어지는 경우가 많았다. 연구기관 네트워크를 분석한 결과 ‘이화여자대학교’가 연결중심성이 가장 높았고, ‘한국교원대학교’가 매개중심성이 가장 높았다. 네트워크 분석 결과로 미루어 보아, 초등국어교육 연구는 ‘학교’에서 더 나은 국어교육을 실행하기 위한 방향으로 이루어져 왔다. 앞으로 초등국어교육 연구의 폭과 깊이를 더 확장하기 위해서는 연구기관 간 교류와 학제 간 연구가 좀 더 활성화되어야 한다.

Co-occurrence Patterns of Bird Species in the World

김영민,홍성원,이유승,오기철,김구연,주기재 한국하천호수학회 2017 생태와 환경 Vol.50 No.4

In order to identify key nations and bird species of conservation concern we described multinational collaborations as defined using network analysis linked by birds that are found in all nations in the network. We used network analysis to assess the patterns in bird occurrence for 10,422 bird inventories from 244 countries and territories. Nations that are important in multinational collaborations for bird conservation were assessed using the centrality measures, closeness and betweenness centrality. Countries important for the multinational collaboration of bird conservation were examined based on their centrality measures, which included closeness and betweenness centralities. Comparatively, the co-occurrence network was divided into four groups that reveal different biogeographical structures. A group with higher closeness centrality included countries in southern Africa and had the potential to affect species in many other countries. Birds in countries in Asia, Australia and the South Pacific that are important to the cohesiveness of the global network had a higher score of betweenness centrality. Countries that had higher numbers of bird species and more extensively distributed bird species had higher centrality scores; in these countries, birds may act as excellent indicators of trends in the co-occurrence bird network. For effective bird conservation in the world, much stronger coordination among countries is required. Bird co-occurrence patterns can provide a suitable and powerful framework for understanding the complexity of co-occurrence patterns and consequences for multinational collaborations on bird conservation.

네트워크 분석 기법에 의한 일본어 감정 어휘 공기관계 시각화 - 2자 한자 명사 어휘를 중심으로 -

윤영민 한국일본어학회 2022 日本語學硏究 Vol.- No.73

This paper introduces one methodology of Japanese research based on data and aims to explore the co-occurrence relationship of Japanese emotion vocabulary using “network analysis”. The subject of the analysis is “100 books of Shincho Bunko”. Specifically, it collates texts of 65 Japanese novels in “100 of Shincho Bunko”, which completed the morphological comprehensive analysis, to “Japanese sentiment expression dictionary (JIWC-Dictionary)” which was used as a criterion for categorizing emotions. Targeting two-character kanji noun vocabulary, it then uses the network analysis method and visualizes the co-occurrence relationship of the various vocabulary that belong to the emotion categories of “sadness”, “anxiety”, “anger”, “disgust”, “trust”, “surprise”, and “excited”. The two-character kanji noun vocabulary to be analyzed was 33,207 out of 134,370 total tokens, of which 211 were output as “TRUE” from the seven emotion categories. “Anxiety” shows the highest number with 45, followed by “trust” 36, “disgust” 30, “sadness” 26, “surprise” and “excited” each 25, and 24 from “anger”. With these results, we observed the aspect of the vocabulary by emotion category, and at the same time, listed the co-occurrence relationship for the “earthquake” of “anxiety”, which contained the most vocabulary in the emotion category.

키워드 네트워크 분석을 통한 국립공원 연구동향 분석

김동훈,권헌교,심규원 한국산림휴양복지학회 2024 한국산림휴양학회지 Vol.28 No.1

Identifying research trends is important for setting the direction of future research. This study analyzed the research trends of Korea national park-related research published in Korean academic journals using bibliometrics analysis and keyword network analysis. We collected KCI-registered 997 research articles related to Korea national park. And we utilized the article informations and 2,985 keywords. The analysis was performed using VOSviewer, a bibliometrics analysis program. The analysis showed that the number of published articles increased by about 2 articles per year. The research category was dominated by environmental engineering, forestry, and landscape architecture. After analyzing the research cluster, 79 keywords were categorized into eight clusters: ①species diversity, vegetation characteristics, ②research techniques(GIS, CVM etc.), ecotourism, ③endangered species, ④climate change, satisfaction, ⑤quercus mongolica, forest vegetation classification, ⑥protected area such as mt. Halla, biodiversity, ⑦ rare·endemic·naturalized plant, flora, ⑧manage parks such as jirisan national park. Over time, research topics have shifted from species diversity and park management to climate change and ecosystem services.

텍스트 마이닝을 활용한 중국인 학습자 대상 한국어교육 연구 동향 -공기어 네트워크 기법을 중심으로-

주암,전홍화,이정희 이중언어학회 2019 이중언어학 Vol.75 No.-

본 연구에서는 공기어 네트워크 분석을 통해 중국인 학습자를 대상으로 한 한국어교육의 연구 동향을 객관적으로 파악하고 연구 주제어의 변화 양상과 주제어 간의 관련성을 밝히고자 하였다. 연구 대상은 1990년부터 2018년(10월)까지 간행된 한국어교육 관련 학술지 논문 992편이다. 연구 방법은 R 프로그램을 사용하여 논문 제목에 대해 형태소 분석 및 빈도 분석을 실행한 후 주제어를 추출하고 Pajek을 활용하여 공기어 네트워크 그림을 만들어 시각적 네트워크를 통해 연구 동향을 분석하였다. 마지막으로, 중국인 학습자를 대상으로 한 한국어교육 연구의 각 단계에 따라서 학술지 논문들의 연구 동향 차이를 밝혀 지금까지 이루어진 한국어교육의 동향 연구를 보완했을 뿐만 아니라 향후 한국어교육 연구의 발전 방향을 제시하였다. The purpose of this thesis is to find out the variationtrends that aim for the objects, Chinese Korean language learners. It usesresearch-tendency analysis in Korean-language education, among the Koreanacademic community. The research object is a collection of academic papers’titles published in Korea within a certain annual range. The method of thisresearch is based on the text mining analysis whose objects are academicpapers’ titles of keywords. Afterward, it analyzes the co-occurance words. Moreover, through the social network map, it finds out the researchdevelopment trends. Research trend analysis is extensively used in the study ofKorean language education. However, this kind of thesis, which uses researchtrend analysis for the specific objects, Chinese Korean language learners, hasrarely been published. This study is based on statistical analysis. In addition,it analyzes the relationship between the number of papers and the number ofChinese students. Furthermore, the study uses R as a statistical tool for theanalysis of the co-occurance words. It imports the results into Pajek and thenmakes into a social network map. This thesis uses text mining to analyze thetrends of the research topics. Consequently, it finds out the differences in theresearch trends of academic papers in three different stages in the field of Korean language education for Chinese Korean language learners.