• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2018.10a
• /
• pp.197-200
• /
• 2018

The aim of current research is to suggest a interface for movie reviews at a glance through semantic network analysis. The implication of this study is to systematically investigate the structure of eWoM. Specifically, by visualizing semantic networks of movie reviews this study attempts to provide a prototype of a possible review system that can check the response of movie viewer at a glance.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.24 no.3
• /
• pp.58-72
• /
• 2021

In July 2021, UNCTAD classified Korea as a developed country. After the Korean War in the 1950s, economic development was promoted despite difficult conditions, resulting in epoch-making national growth. However, in order to respond to the rapidly changing global economy, it is necessary to continuously study the domestic industrial ecosystem and prepare strategies for continuous change and growth. This study analyzed the industrial ecosystem of the automobile industry where it is possible to obtain transaction data between companies by applying complexity spatial network analysis. For data, 295 corporate data(node data) and 607 transaction data (link data) were used. As a result of checking the spatial distribution by geocoding the address of the company, the automobile industry-related companies were concentrated in the Seoul metropolitan area and the Southeastern(Dongnam) region. The node importance was measured through degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality, and the network structure was confirmed by identifying density, distance, community detection, and assortativity and disassortivity. As a result, among the automakers, Hyundai Motor, Kia Motors, and GM Korea were included in the top 15 in 4 indicators of node centrality. In terms of company location, companies located in the Seoul metropolitan area were included in the top 15. In terms of company size, most of the large companies with more than 1,000 employees were included in the top 15 for degree centrality and betweenness centrality. Regarding closeness centrality and eigenvector centrality, most of the companies with 500 or less employees were included in the top 15, except for automakers. In the structure of the network, the density was 0.01390522 and the average distance was 3.422481. As a result of community detection using the fast greedy algorithm, 11 communities were finally derived.

• Journal of Korean Library and Information Science Society
• /
• v.47 no.3
• /
• pp.95-114
• /
• 2016

The purpose of this preliminary study is to collect specific examples of book reports and understand semantic characteristics of them through semantic network. The analysis was conducted with 23 book reports which classified by three groups. The keywords were selected from the of book reports. Five types of keyword network were composed based on co-occurrence relations with keywords. The result of this study is following these. First, each keyword network of book reports of groups and individuals is shown to have different structural characteristics. Second, each network has different high centrality keywords according to the result analysis of 3 types of centrality(degree centrality, closeness centrality, betweenness centrality). These characteristic means that keyword network analysis is useful in recognizing the characteristics of not only groups' and but also individual's book reports.

• The Mathematical Education
• /
• v.59 no.1
• /
• pp.1-15
• /
• 2020

In this paper, we analyzed curriculum materials on inequalities as regions. Constructs such as mathematical connections and curriculum articulation were used as a framework. As for articulation, our findings indicate the topic of inequalities as regions addresses meaningful subordinate mathematical thinking and skills that serve prerequisite to calculus. Regarding connections, mathematical concepts involving inequalities extend to multivariate calculus. One implication is, as an unintended consequence of curricular decision of 2015 Revised National Curriculum to teach the topic only in mathematical economics, students who plan to study STEM subjects in college but opt out of mathematics economics in high school may miss the key concept and naturally struggle to understand calculus especially the theory of multivariate function of calculus.

• Korean Journal of Social Welfare Studies
• /
• v.41 no.4
• /
• pp.313-343
• /
• 2010

The aim of this study is to examine the factors influencing network centrality on women's welfare organizations, and to investigate how the level of network centrality influence the effectiveness of the organization. To achieve this goal, this study conducted a survey on women's welfare organizations in Seoul from March to June, 2009. Network analysis method was used to get each organization's network centrality value. Also, through the Structural Equation Modelling, organizational characteristics predicting network centrality and effect of network centrality on organizational effectiveness. The main results are as follows. First, the significant affecting factors were different between three types of centralities with regards to the type of organization, recognition of resource dependency, attitude of top manager, and established year. Second, the common factors affecting three network centralities were the number of informal ties, accepting feminism as the main organizational philosophy, and the number of qualified staffs. Third, only closeness centrality positively predicted the level of organizational effectiveness among three types of centralities. The faster the organization reaches to other organizations in a network, the organizational effectiveness becomes higher, which means high closeness centrality is more important factor than high degree centrality or high betweenness centrality to increase organizational effectiveness. This result shows social welfare organization should consider changing inter-organizational network strategy from quantity-focused to quality-focused.

• Proceedings of the Korean Society for Information Management Conference
• /
• 2013.08a
• /
• pp.61-65
• /
• 2013

아프리카의 인터넷 이용인구는 3%로 웹 정보접근성이 부족하다. 디지털 정보자원의 주체인 대학도서관은 정보접근의 수단을 넘어 의사소통의 역할을 담당하기 때문에 대학도서관 웹사이트 신뢰성은 매우 중요하다. 본 연구에서는 신뢰성 가이드 10개 요소를 중심으로 아프리카 중부지역의 10개국 14개 대학의 신뢰성을 분석하였다. 그 결과 잘 지켜지지 않은 항목은 정보의 정확성, 정보의 최신성, 오류제한, 웹사이트 기관의 신뢰성으로 나타났다. 이는 웹사이트의 기능과 디자인보다는 콘텐츠로 정보의 정확성, 충실함, 신뢰성에 관한 요인들 이었다. 따라서 운영자는 자관의 사용을 배려한 콘텐츠의 정기점검으로 페이지의 정확한 연결, 안내페이지와 정보페이지의 명확성, 최신정보의 유지, 오류를 최소화 하여야 한다. 또한 도움말 제공과 반복적인 페이지를 제한하여 신뢰성을 갖추어야 하며 이를 토대로 웹사이트를 구축해야 할 것이다.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2018.07a
• /
• pp.244-247
• /
• 2018

본 연구는 우리나라 중등교사 임용시험의 형태가 개편된 2014년도 이후부터 2018년도 현재까지 진행된 중등교사 임용시험 관련 선행연구들을 언어네트워크 분석 방법론을 활용하여, 그 연구동향을 분석하였다. 본 연구에서는 2014년도 이후 5년간 진행된 중등교사 임용시험 관련 연구 55건을 대상으로 주요 핵심어 추출 및 워드클라우드 제시, 주요 핵심어의 언어네트워크 전체 분석 및 3종 중심성(연결정도, 근접, 매개) 분석, 네트워크 값을 반영한 네트워크 그림 시각화 작업 등을 진행하였다. 중등교사 임용시험 관련 선행연구의 주요 핵심어는 분석, 문항, 출제, 인식, 임용후보자, 교과교육학, 국어과, 선정경쟁시험, 개선, 예비교사, 교과내용학, 기출문항, 임용교사, 제도, 탐색 등이었다. 이들 상위 빈도 핵심어들은 나름 높은 연결정도를 가지고 다른 핵심어들간의 의미연결망을 구축하고 있음을 확인하였다, 이런 연구결과는 중등교사 임용시험 주제 연구 진행을 할 때, 연구주제 선정 및 방향 설정에 도움을 줄 것으로 기대된다.

• Proceedings of the ESK Conference
• /
• 1998.04a
• /
• pp.59-64
• /
• 1998

근래에 들어 제품개발에 있어 사용자를 최우선에 놓아 디자인하려는 사용자 중심 디자인에 대한 연구가 활발해지면서 사용자 관찰법(user observation), 사용성 평가(usability testing) 등과 간은 다양한 방법이 활용되고 있다. 하지만 이러한 방법들은 아직 사용자 중심 디자인 을 위해 효과적으로 활용되기 어려운 실정이다. 이에 대한 이유는 여러 가지를 들 수 있으 나 우선 이들 방법의 활용시, 특히 수집된 데이터의 분석과 저장시 소요되는 많은 불필요한 노력과 시간이다. 다음으로 이들 각 방법들은 제품개발의 어떤 특정 단계만의 활용을 위해 개발되었기 때문에 전체적 개발 프로세스의 관점에서 상호 유기적으로 잘 연결되지 못한다는 문제가 있게 된다. 이에 본 연구는 제품개발 전 과정에 걸쳐 활용될 수 있는 사용자 중심 디자인 방법을 살펴보고 이들에 적용될 수 있는 통합적 컴퓨터 지원 시스템을 개발하는 것을 그 목적으로 하고 있다. 제품개발 프로세스를 사용자의 니즈 분석단계, 인터렉션 디자인을 위한 아이디어 도출단계, 컨셉의 개발단계, 제품의 사용성 평가단계로 나누고 이들 각단계 에 요구되는 각 방법들의 특성을 파악하여 컴퓨터 응용방법의 기본 프레임웍을 제시한다.

• Transactions of the Korean hydrogen and new energy society
• /
• v.33 no.4
• /
• pp.318-329
• /
• 2022

This study analyzed keyword networks and Author's Affiliation networks of hydrogen-related papers published in Korea Citation Index (KCI) journals from 2016 to 2020. The study investigated co-occurrence patterns of institutions over time to examine collaboration trends of hydrogen scholars. The study also conducted frequency analysis of keyword networks to identify key topics and visualized keyword networks to explore topic trends. The result showed Collaborative research between institutions has not yet been extensively expanded. However, collaboration trends were much more pronounced with local universities. Keyword network analysis exhibited continuing diversification of topics in hydrogen research of Korea. In addition centrality analysis found hydrogen research mostly deals with multi-disciplinary and complex aspects like hydrogen production, transportation, and public policy.

• The KIPS Transactions:PartB
• /
• v.18B no.5
• /
• pp.279-290
• /
• 2011

As the volume of internet and web contents have shown an explosive growth in recent years, lately contents recommendation system (CRS) has emerged as an important issue. Consequently, researches on contents recommendation method (CRM) for CRS have been conducted consistently. However, traditional CRMs have the limitations in that they are incapable of utilizing in web 2.0 environments where positions of content creators are important. In this paper, we suggest a novel way to recommend web contents of high quality using both degree of centrality and TF-IDF. For this purpose, we analyze TF-IDF and degree of centrality after collecting RSS and FOAF. Then we recommend contents using these two analyzed values. For the verification of the suggested method, we have developed the CRS and showed the results of contents recommendation. With the suggested idea we can analyze relations between users and contents on the entered query, and can consequently provide the appropriate contents to the user. Moreover, the implemented system we suggested in this paper can provide more reliable contents than traditional CRS because the importance of the role of content creators is reflected in the new system.