• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.688-701
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• 2020

This study analyzes the characteristics and change factors of technological cooperation networks in the automotive industry. Using Social Network Analysis (SNA) of 112,009 autonomous driving-related patents filed from 2000 to 2017 by major automotive firms in the world, we investigate the structure of the technological cooperation network. Network characteristics such as density are analyzed through structural characteristic analysis among the network analysis indicators. The structural characteristics of the technology cooperation network are confirmed through analysis of status characteristic indicators, such as the degree of centrality, betweenness centrality, and closeness centrality. Results show that car makers such as Toyota and Hyundai Motors, as well as parts suppliers such as Bosch and Continental, have high-performance technology developments related to autonomous driving. The structural characteristics of the network show that companies participating in cooperative networks for autonomous driving technology development have increased in number and are diversified, and all of the status characteristics indicators have decreased. This can be interpreted as an increasing number of horizontal and complementary forms of technological cooperation between firms. In addition, it was confirmed that the number of participants in the field of autonomous driving technology has increased, and the networks have become more complex.

• Journal of Technology Innovation
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• v.29 no.1
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• pp.39-73
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• 2021

The cooperative network structure influences the academic performance of the research institute. In particular, South Korea's Government-Funded Research Institutes(GRI) need to establish an efficient cooperative system as a leading national R&D implementer. This study applied the Small World structure, which has been discussed as an efficient network structure, and the centrality of representing the characteristics of nodes to the cooperative network of GRI in Korea. Based on the SCIE published data from 2010 to 2019, we analyze how the Small World characteristics and centrality of GRI contribute to academic performance using a network analysis and Feasible GLS regression. The GRI cooperative network has shown that the Small World network structure facilitates the academic performance. In addition, centrality indicating the degree of direct connection showed positive significance, but centrality indicating the degree of intermediary was not significant or negative. The results of this study explain that the higher the number of institutions that exchange and cooperate, the higher the academic performance, and the higher the performance of the institutions that serve as the center of cooperation. In addition, it was established that the stronger the cooperative network of GRIs have the characteristics of Small World, the more effective it is to create research results. This study applies centrality and Small World previously discussed as an efficient network structure to the GRI cooperation network and provide implications for establishing policies and strategies related to R&D cooperation among GRIs.

• Design Convergence Study
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• v.14 no.4
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• pp.133-150
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• 2015

In this study, we proposed Interactive Visualization methods that can be analyzed relations between nations in various viewpoints such as period, issue using total 5211 of the UN General Assembly voting data.For this research, we devised a similarity matrix between nations and developed two visualization method based similarity matrix. The first one is Network Graph Visualization that can be showed relations between nations which participated in the vote of the UN General Assembly like Social Network Graph by year. and the second one is Proximity based Circular Visualization that can be analyzed relations between nations focus on one nation or Changes in voting patterns between nations according to time. This study have a great signification. that's because we proposed Proximity based Circular Visualization methods which merged Line and Circle Graph for network analysis that never tried from other cases of studies that utilize conventional voting data and made it. We also derived co-operatives of each visualization through conducting a comparative experiment for the two visualization. As a research result, we found that Proximity based Circular Visualization can be better analysis each node and Network Graph Visualization can be better analysis patterns for the nations.

• 한국체육학회지인문사회과학편
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• v.55 no.6
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• pp.801-810
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• 2016

The purpose of the study was to conduct a text mining examining keywords related to the National Paralympics and provide the fundamental information that would be used to change perception of people without disabilities toward disabilities and to promote the social participation of people with and without disabilities in the National Paralympics. Social big data regarding the National Paralympics were retrieved from news articles and blog postings identified by search engines, Naver, Daum, and Google. The data were then analysed using R-3.3.1 Version Program. The analysing techniques were cloud analysis, correlation analysis and social network analysis. The results were as follows. First, news were mainly related to game results, sports events, team participation and host avenue of the 33rd ~ 36th National Paralympics. Second, search results about the 33rd ~ 36th National Paralympics between Naver, Daum, and Google were similar to one another. Thirds, the keywrods, National Paralympics, sports for the disabled, and sports, demonstrated a high close centrality. Further, degree centrality and betweenness centrality were associated in the keywords such as sports for all, participation, research, development, sports-disabled, research-disabled, sports for all-participation, disabled-participation, sports for all-disabled, and host-paralympics.

• Journal of Broadcast Engineering
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• v.23 no.4
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• pp.536-548
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• 2018

Public data has been transformed from provider-oriented information disclosure to a form of personalized information sharing centered on individual citizens since government 3.0. As a result, the government is implementing policies and projects to maximize the value of public data and increase reuse. This study analyzes the issues related to public data in the news and seeks the status of government agencies and government projects by issue. We conducted semantic analysis on domestic online news and public agency bidding information including public data and conducted the work of linking major key words derived with social and economic values inherent in public data. As a result, major issues related to public data were divided into broader access to public data, growth of new technology, cooperation and conflict among stakeholders, and utilization of the private sector, which were closely related to transparency, efficiency, participation, and innovation mechanisms. Also major agencies of four issues include the Ministry of Strategy and Finance and Seoul, Ministry of Culture, Sports and Tourism and Gyeonggi-do, Ministry of Trade, Industry and Energy and Incheon, and Ministry of Land, Infrastructure and Transport and Gyeongsangbuk-do. Most of the issues are being led by the government.

• Journal of the Economic Geographical Society of Korea
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• v.23 no.1
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• pp.56-70
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• 2020

This study identifies the impact of social network service (SNS) on the spatial characteristics of retail stores locations in the hyper-connected society, which have been closely related to the everyday lives of urban residents. In particular, we focus on the changes in the spatial distribution of restaurants since the information retrieval process was added to the decision-making process of a consumer's restaurant selection. Empirically, we analyze restaurants in Seoul, Korea since the smart-phone was introduced. By applying the kernel density estimation and Moran's I index, we examine the changes in the spatial distribution pattern of restaurants during the last ten years for running, newly-open and closed restaurants as well as SNS popular ones. Finally, we develop a spatial regression model to identify geographic features affecting their locations. As the results, we identified geographical variables and online factors that influence the location of restaurants. The results of this study could provide important groundwork for food and beverage location planning and policy formulation.

• Journal of the Korean Geographical Society
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• v.31 no.4
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• pp.685-698
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• 1996

Southern Louisiana has one of the largest Vitnamese refrgee neighborhoods after the mid-1970s. It is impressive that one of their adaptive strategies comes from their religious lives which are centered on either Catholicism or Buddhism. The Buddhism community, especially, exhibits an exotic symbolic system of value and attitude, and thus contributes to cultural diversity in the adopted country. The landscape of the Buddhist temple is a visible symbol to them that the host socirty accepts their maintenance of their own cultural identity and that they are also an integral part of American society. Their making-place and being-in-place procedures, although their culture is being transformed in the original shape, put an emphasis on interaction with the host xociety. These procedures have been facilitated by consolidating their identity as a minority group as well as by interacting with the host society. The on-going influx of foreign immigrant groups seems not to drive them to assimilate into the melting-pot society, but to contribute to contribute to the increase in the cultural diversity of the United States.

• Journal of Intelligence and Information Systems
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• v.15 no.1
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• pp.123-140
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• 2009

Collaborative filtering recommends products using customers' preferences, so it cannot recommend products to the new customer who has no preference information. This paper proposes a novel approach to new customer recommendations using the social network analysis which is used to search relationships among social entities such as genetics network, traffic network, organization network, etc. The proposed recommendation method identifies customers most likely to be neighbors to the new customer using the centrality theory in social network analysis and recommends products those customers have liked in the past. The procedure of our method is divided into four phases : purchase similarity analysis, social network construction, centrality-based neighborhood formation, and recommendation generation. To evaluate the effectiveness of our approach, we have conducted several experiments using a data set from a department store in Korea. Our method was compared with the best-seller-based method that uses the best-seller list to generate recommendations for the new customer. The experimental results show that our approach significantly outperforms the best-seller-based method as measured by F1-measure.

• Science of Emotion and Sensibility
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• v.16 no.2
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• pp.249-264
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• 2013

Using social network analysis, this study examined cognitive representations of ideal public figures as well as politicians and entertainers who are often regarded as public figures in Korea. Participants expected ideal public figures to possess only positive characteristics, such as high morality, integrity, competence. However, their assessment of politicians and entertainers reflected in their cognitive representations turned out to be fairly different from the image of ideal public figures. Personality traits and behavioral characteristics featured in cognitive representations of politicians were dominantly negative. Cognitive representations of entertainers incorporated both positive and negative characteristics highly interconnected to each other. This study also explored how people respond affectively toward ideal public figures, politicians and entertainers. Participants showed only positive feelings toward ideal public figures. However, their' affective responses toward politicians were entirely negative and toward entertainers, both positive and negative affects were shown. We discussed the disjunction between the representations of politicians and entertainers and of ideal public figures and suggested directions of future research.

• Journal of Global Scholars of Marketing Science
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• v.2
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• pp.59-79
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• 1998

전라남도와 경상남도는 강 하나를 사이에 둔 아주 가까운 이웃이며, 주민생활권이나 지역경제권이 상로연계성을 갖고 있다. 뿐만아니라 사회, 경제 문화와 보유자원의 여러 측면에서도 상로 본완적 성격을 갖고 있는 지역이다. 따라서 대승적 차원에서 볼 때 국토의 균형박전을 도모하고 진정한 동서화합을 위해 상로연계성을 갖고 있는 광양만, 진주권 광역새발을 공동으로 추진하여 동시화합의 대전기를 마련하는 계기로 삼아야 할 것이다. 이러한 차원에서 동서지역의 광역개발 필요성을 요약하면, 첫째, 최근 일정지역의 행정구역을 넘어서 인구와 물자 및 자원의 이용이 활발하게 이러나고 있어 통합적 계획 및 집행이 요구된고 있다. 따라서 광양만 진주권개발은 2개도에 걸쳐 광역개발권역을 설정한 우리나라 최초의 시범적인 계획으로써 세계적인 관심을 보이고 있다. 둘째, 국가경쟁력을 강화하기 위한 신산업지대의 조성과 연계교통망의 구축이 요망된다. 셋째 국토균형발전을 위해 수도권에 대응한 지방거점 도시권의 육성이 팽배하며, 넷째, 중북투자를 피하고 상호보완적인 기능을 극대화하여 진정한 동서화합에 대한 시대적 여청이 증대되고 있는 시절이다. 따라서 광양만 진주권 광역개발의 기본구상은 우선 경제적 물리적통합으로 실절적인 동서이익을 보색하는 차원에서 추진되어야 한다. 그리고 광양함을 국제물류의 중심지로 확충하고 주변지역에 대규모 물류 유통 및 국제기능을 유치하여 국제적 교류거점으로서의 기반 조성을 강화 하여야 한다. 또한 국제관광벨트 및 신산업지대의 형성과 함께 세계화 고속화에 걸맞는 교통기반시설을 정비하는 한편 자연친화적인 개발전략을 이룩함으로써 지구촌 경제하에시 지역균형개발과 지역의 국제경쟁역 확보차원에서 실현되어야 한다. 나아가 과양만권과 진주권의 경제 사회적인 통합을 달성함으로써 국민적 염원인 동서화합의 장으로 승화 발전 시킬 수 있도록 공간구조 및 기능의 분담배분이 요구된다. 기능은 동시지역을 연결하는 통합적인 기능 분담으로 과양만은 생산 및 물류지원기능의 강화와 전주 사천권은 첨단산업 연구 및 지원기능의 강화차원에서 배분이 요구된다. 이러한 광역개발계획이 세계적으로 추진될 때에 진정한 동서화합은 가능할 것이다. 따라서 진정한 도서화합을 유도하기 위해서는 광역개발을 실펀하기 위한 제도적인 협력체계의 구축이 요구된다. 동서지역의 광영개발을 위한 협력체계의 구축 방안은 첫째, 양 지역간에 협약제도르 도입함으로써 광역개발의 집행력을 강화하여야 한다. 즉, 개별 개발사업별로는 협약이 체결됨으로써 자치단체간의 역활분담이 분명하고 여차별 예산의 확보는 물론 사업시행이 구체화 될 수 있기 때문이다. 둘째는 양 자치단체간의 광역행정을 진담하는 기구의 절차가 필요한다. 광역개발 계획 추진 뿐만아니라 실질적으로 양권역이 공존공영을 위해 필요한 사업들을 추진 할 수 있도록 협의회 기능을 보완한 새로운 전담기구의 설치가 필요하다. 셋째. 광양만 진주권 광역개발 계획은 동서지역의 화합이라는 상징적인 의미를 지니고 있다. 따라서 중앙정부는 동서지역간의 진정한 화합을 유도하기 위해 제주도개발 특별법과 같은 �G동서지역개발 특별법�H을 제정하여 종합적이고 체계적인 개발을 유도 하여야 한다. 지역발전을 이룩할 수 있도록 자속적인 노력이 필요하다.