• The Journal of the Korea institute of electronic communication sciences
• /
• v.14 no.2
• /
• pp.447-452
• /
• 2019

The elder problem is very serious stage in the age of present. This paper carries out scientometric analysis based on keyword that effort of global researcher for this research field as viewpoint of ICT and healthcare in order to settle physical exercise and rehabilitation of elder. First, this paper performs analysis of linkage relation of keyword. Second this paper carries out the analysis of degree distribution and centrality analysis of network based on betweenness centrality, closeness centrality and harmony centrality. Through this process, this paper reviews research trend of present and future through core keyword in the field of ICT and healthcare.

• Communications of Mathematical Education
• /
• v.29 no.3
• /
• pp.465-489
• /
• 2015

The purpose of this study is to suggest implications for the development and revision of future teaching materials for mathematically gifted students by using network text analysis of secondary mathematics materials. Subjects of the analysis were learning goals of 110 teaching materials in a gifted education center in science attached to a university from 2002 to 2014. In analysing the frequency of the texts that appeared in the learning goals, key words were selected. A co-occurrence matrix of the key words was established, and a basic information of network, centrality, centralization, component, and k-core were deducted. For the analysis, KrKwic, KrTitle, and NetMiner4.0 programs were used, respectively. The results of this study were as follows. First, there was a pivot of the network formed with core hubs including 'diversity', 'understanding' 'concept' 'method', 'application', 'connection' 'problem solving', 'basic', 'real life', and 'thinking ability' in the whole network from 2002 to 2014. In addition, knowledge aspects were well reflected in teaching materials based on the centralization analysis. Second, network text analysis based on the three periods of the Mater Plan for the promotion of gifted education was conducted. As a result, a network was built up with 'understanding', and there were strong ties among 'question', 'answer', and 'problem solving' regardless of the periods. On the contrary, the centrality analysis showed that 'communication', 'discovery', and 'proof' only appeared in the first, second, and third period of Master Plan, respectively. Therefore, the results of this study suggest that affective aspects and activities with high cognitive process should be accompanied, and learning goals' mannerism and ahistoricism be prevented in developing and revising teaching materials.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2002.05a
• /
• pp.425-428
• /
• 2002

To understand and forecast the wireless internet market in Korea, we will analyse the network externalities in wireless internet market into communication network externalities and hardware/software network externalities. The wireless market has two competing streams, one is mobile internet and the other is wireless fan internet. Both are characterized by strong network externalities which lead to increasing return to stale. Mobile internet is supposed more suitable for communication and WLAN for data. However these two system will compete in some area, and the critical factor to deride the winner is supposed to be the network externalities as in so many other high-tech industries had showed.

• Journal of the Korean Society for Library and Information Science
• /
• v.48 no.2
• /
• pp.353-378
• /
• 2014

The purpose of this study is to find factors to affect on the formation of semantic relation from terminology and what is to be affected by these factors to build the database scheme of terminology dictionary by a structural definition. In this research, 826,905 keywords of 88,874 social science articles and 985,580 keywords of 125,046 humanities science articles in the KCI journals from 2007 to 2011 were collected. From collected data, subject complexity, structural hole, term frequency, occurrence pattern and an effect between the number of nodes and the number of patterns which were derived from the semantic relation of linked terms of established 'STNet' System were analyzed. The summarized results from analyzed data and network patterns are as follows. Betweenness Centrality, term frequency, and effective size affect the numbers of semantic relation node. Among these factors, betweenness centrality was the most effective and effective size. But term frequency was the least effective. Betweenness Centrality, term frequency, and effective size affect the numbers of semantic relation type. Term frequency is the most effective. Therefore, when building a terminology dictionary, factors of betweenness centrality, term frequency, effective size, and complexity of subject are needed to select term. As a result, these factors can be expected to improve the quality of terminology dictionary.

• Journal of Korea Society of Industrial Information Systems
• /
• v.23 no.2
• /
• pp.63-73
• /
• 2018

Academia and research institutes mainly use qualitative methods that rely on expert judgments to understand and predict research trends and science and technology trends. Since such a technique has the disadvantage of requiring much time and money, in this study, science and technology trends were predicted using keyword network analysis. To that end, 13,618 AI (Artificial Intelligence) patent abstracts were analyzed using keyword network analysis in three separate lots based on the period of the submission of each abstract: analysis period 1 (January 1, 2002 - December 31, 2006), analysis period 2 (January 1, 2007 - December 31, 2011), and analysis period 3 (January 1, 2012 - December 31, 2016). According to the results of frequency analyses, keywords related to methods in the field of AI application appeared more frequently as time passed from analysis period 1 to analysis period 3. In keyword network analyses, the connectivity between keywords related to methods in the field of AI application and other keywords increased over time. In addition, when the connected keywords that showed increasing or decreasing trends during the entire analysis period were analyzed, it could be seen that the connectivity to methods and management in the field of AI application was strengthened while the connectivity to the field of basic science and technology was weakened. According to analysis of keyword connection centrality, the centrality value of the field of AI application increased over time. According to analysis of keyword mediation centrality during analysis period 3, keywords related to methodologies in the field of AI application showed the highest mediation value. Therefore, it is expected that methods in the field of AI application will play the role of powerful intermediaries in AI hereafter. The technique presented in this paper can be employed in the excavation of tasks related to regional innovation or in fields such as social issue visualization.

• The Journal of the Korea Contents Association
• /
• v.12 no.11
• /
• pp.511-518
• /
• 2012

In this study, the trend in green technology was observed and the domain of the green technology area that will be actively studied in the future was found by establishing knowledge map in green technology area and comparing and analyzing green technology information in Korea and overseas in time series. For the purpose of this study, network analysis was conducted for the keyword of green technology information provided by green technology information portal site (www.gtnet.go.kr) operated by Korea Institute of Science and Technology Information. Network analysis was conducted using keyword, and change of study subject was found by dividing the analysis result into periods. In the result of network analysis on top 100 keywords from total English keyword, it was found that renewable energy related areas such as solar energy and biomass had high centrality. When the main keyword trend by year was studied, centrality of solar cell, nanotechnology, smart grid, and fuel cell were found to increase, showing that research and development in generation and use of renewable energy are actively made.

• Journal of Navigation and Port Research
• /
• v.42 no.6
• /
• pp.529-538
• /
• 2018

The port industry is an important national industry which significantly affects Korea's imports and exports which are centered on economic structure. For instance, the Port of Busan, which handles 75% of domestic container freight volume, is expected to become increasingly critical for container liner routes. For this reason, there have been continued efforts to expand freight service to attract international freight volume. This study analyzes the structural characteristics of the port network connected to the Port of Busan by analyzing the pattern of the container liner route from 2012 to 2016 by using social network analysis. According to the Port of Busan's liner route network, the port with the highest degree of centrality, closeness centrality, and betweenness centrality was found to be the Port of Singapore. The comparison of Busan's annual container handling rank by countries and the port center network analysis of Port of Busan rank was found to be different. As a result, it was established that China's East Port, which occupies a high percentage of the volume of cargo handled by Port of Busan, is not a hub port of Busan when viewed on the Busan's container terminal liner network. In addition, even if the number of Port of Busan container liner service increases, it is estimated that the vessels to be added to the fleet will be limited to small to medium sized, or that Busan port has characteristic of a feeder port for the Port of Singapore, according to the network.

• Electronics and Telecommunications Trends
• /
• v.29 no.6
• /
• pp.93-101
• /
• 2014

기존 하드웨어 중심의 네트워크 인프라를 소프트웨어 중심으로 진화시켜 서비스 유연성과 비즈니스 민첩성을 제고시킬 수 있는 새로운 네트워크 기술로 소프트웨어 정의 네트워킹(SDN: Software-Defined Networking)과 네트워크 기능 가상화(NFV: Network Functions Virtualisation) 기술이 최근 각광을 받고 있다. 빠르게 상용화 단계에 접어든 소프트웨어 정의 네트워킹 기술과 달리, 네트워크 기능 가상화 기술은 표준화 단체를 통한 기술 논의 및 상위 표준문서 작업에 많은 노력이 집중됨에 따라 네트워크 기능 가상화 기술을 개발하고 검증하며 운용할 수 있는 실질적인 플랫폼 개발에 대한 요구가 꾸준히 제기되어 왔다. 본고에서는 최근 Linux Foundation의 Collaborative Project로 발표된 공개 소프트웨어 기반의 네트워크 기능 가상화 플랫폼 개발 프로젝트인 OPNFV(Open Platform for NFV)의 목적과 개발범위 그리고 향후 개발방향을 중심으로 소개한다.

• Proceedings of the Korean Society for Information Management Conference
• /
• 2016.08a
• /
• pp.23-27
• /
• 2016

최근 학제간 연구에 대한 관심이 커지면서 자연스럽게 연구자들 간의 협력관계, 특히 학술적 협력관계에 대한 관심 역시 증가하고 있다. 이에 따라 공저 네트워크 자체의 속성에 대한 연구 뿐만 아니라 공저 분석 기법을 통해 특정 학문 분야의 지적 구조를 해석하려는 연구들이 꾸준히 진행되고 있다. 본 연구는 공저 네트워크 분석을 통해 국외 학제적 저널의 공저 현황과 소속기관 유형을 살펴보고 매개 중심성과 연결정도 중심성을 통해 학술지별 주요 소속기관과 저자들의 위치, 그리고 그들간의 협력 관계를 살펴보고자 하였다.

• Journal of the Korean Society for information Management
• /
• v.37 no.2
• /
• pp.1-22
• /
• 2020

The legislative cosponsorship network shows the legislative process of the National Assembly through the relationship between the members of the National Assembly formed by cosponsorship. This study focused on the library bill proposed during the 19th National Assembly term, and conducted the cosponsorship network analysis, the centrality analysis of actors of the National Assembly, and a subgroup analysis of keyword-centric networks. As the result of the study, the library bill's cosponsorship network was segmented according to political parties, and lawmakers who played an intermediary role in close proximity to other political party members had an important influence on the network. When restructured into a keyword-oriented network, the network structure segmented into political parties improved as members of different parties shared the same keywords and formed subgroups. Based on the results, it was suggested that a strategy for spreading and sharing policy issues based on core keywords rather than library legislation, centered on lawmakers who play a mediating role between parties, is needed to activate library legislation.