• Title/Summary/Keyword: 사회적 연결망

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Social Network Analysis by Utilizing Disaster Risk Big Data (재난 위험신고 빅데이터를 활용한 사회연결망 분석)

  • Han, Ji-Ah;Jeong, Duk-Hoon
    • The Journal of Bigdata
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    • v.1 no.2
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    • pp.45-63
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    • 2016
  • According to changes of recent climate social structures, frequency of occurrence new or complex disasters are increasing. So the importance of disaster prevention is increasing. To provide useful information of disaster prevention activities, We use the "Safety Sinmungo" main processing practices included Facility safety management in Ministry of Public Safety and Security. Facility safety management is the most and common disaster prevention activities. We identified the keywords in the risk report and facilities to residents report and analyzed the seasonal and inter-regional facilities report distribution process. We also utilized social network analysis techniques to configure a 1-mode, 2-mode facilities around the keyword for differences.

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웹 기반 추천시스템에서 사회적 실재감이 추천 만족도에 미치는 영향

  • Choe, Jae-Won;Lee, Hong-Ju
    • 한국경영정보학회:학술대회논문집
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    • 2007.11a
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    • pp.585-590
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    • 2007
  • 기업과 소비자간 일대일 상호작용을 가능하게 하는 전자상거래의 기술적 발달을 통해 소비자에게 더 나은 웹 경험을 제공하기 위해 개인화 서비스를 제공하고 있다. 개인화 추천을 수행하기 위해서는 추천을 받을 사용자와 유사한 다른 사용자들의 선호도를 반영하는 협업 필터링 기법이 많이 활용되고 있으며, 많은 사이트들이 추천을 받은 사용자에게 유사한 사용자들을 보여주어 사회망 연결을 위한 기회를 제공하고 있다. 본 연구에서는 웹 기반 개인화 추천 시스템을 이용하여 사용자에게 효과적으로 제품을 추천하기 위해서, 사회적 실재감(Social Presence)이 추천시스템의 만족도에 미치는 영향에 관하여 연구하고자 한다. 또한, 사회적 실재감을 높이기 위한 방안으로 사회망(Social Network) 데이터의 제시를 통해 다양한 차원의 사회적 실재감과 추천시스템에 대한 만족도 및 신뢰간의 영향관계를 분석한다. 이를 위해 실험집단을 나누어 세 가지 차원의 사회적 실재감을 부여하고, 집단간의 추천 시스템에 대한 신뢰와 만족도간에 차이가 있는지를 분석하였다.

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A Study on Developing the Contents of Historical Education Using Social Network Analysis (사회연결망분석을 활용한 거대사 교육 콘텐츠 개발 방향 제안)

  • Yun, Hye-Jeong;Seo, Hee-Chang;Park, Eun-Soo;Lee, Yoon-Sun;Kim, Jae-Jun;Lee, Hee-Soo;Lim, Seong-Bin;Lee, Tai-Sik
    • The Journal of the Korea Contents Association
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    • v.15 no.6
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    • pp.606-615
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    • 2015
  • This study aims to provide suggestions for the development of educational contents on historical events that can solve the existing curriculum's problems, such as the disproportionate weight given to Western historical events. The study focuses on content ranging from the start of the Agricultural Revolution (7000 BC.) to the start of the Industrial Revolution (AD. 1760). The results are as follows. We used the Delphi technique for deriving global historical events. Among them, 56 historical events were selected as the data for Social Network Analysis (SNA). The results of SNA showed that topics related to Civilization has a high priority. In addition, the results of a coagulation analysis showed the events can be divided into seven groups. The classification criteria is different from the criteria used for the current period. We expect that the suggested framework developed for historical contents will constitute a new approach to historical interpretation through network visualization and linkage analysis.

Police Networks for Criminal Intelligence Functions: Based on Informal Social Network Analysis (경찰 범죄정보 수집 활동의 관계망 분석: 비공식적 사회연결망 분석을 중심으로)

  • Choi, Yeong Jin;Yang, Chang Hoon
    • The Journal of the Korea Contents Association
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    • v.20 no.1
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    • pp.448-459
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    • 2020
  • Recently, the necessities of gathering, producing, and sharing criminal information are critically important as intelligence functions of police agencies to improving public safety and national security. However, the inadequacies and barriers within which police agencies have in regard to intelligence functions impede criminal information gathering, intelligence producing within their agency, and intelligence sharing with other agencies. In this study, we analyzed informal networks constructed from a survey dataset of information and intelligence sharing among officers in police agencies. The results revealed the different structural properties of intelligence networks between police agencies. We did find that officers with high indegree and outdegree in a network played critical role on the dynamics and degree of intelligence gathering and assessment responsibilities. Finally, we could find evidence that the potential role of intermediary triggered relational dynamics for developing and sharing critical information among all police agencies.

The Analysis on Users' Centrality in the Social Network and their Sentiment : Applying to Medical Web Forum on Alzheimer's Disease (사회연결망상의 우위와 감성 표현과의 관계 분석: 알츠하이머 웹포럼의 적용)

  • Lee, Min-Jung;Woo, Ji-Young
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.6
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    • pp.127-140
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    • 2015
  • In this study, we aim to analyze the relationship between the centrality in the social network and the sentiment of medial web forum users. In recent, many people use online resources to obtain health and wellness information especially social media resources. In the medial web forum, people give and receive informational supports and emotional supports and this interaction forms the social network. We analyze the social network, derive node characteristics in terms of centrality and compare the centrality index and the sentiment score derived from users' messages. We found that as more people express their emotion, they possess higher central position in the network. Further, people who express positive emotion in their messages have higher central position in the network than people who have negative emotion. This study will help to identify influentials of emotional supports to others and finally to control the depression of Alzheimer's disease patients and their related ones.

Reviewing connectionism as a theory of artificial intelligence: how connectionism causally explains systematicity (인공지능의 이론으로서 연결주의에 대한 재평가: 체계성 문제에 대한 연결주의의 인과적 설명의 가능성)

  • Kim, Joonsung
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.9 no.8
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    • pp.783-790
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    • 2019
  • Cognitive science attempts to explain human intelligence on the basis of success of artificial neural network, which is called connectionism. The neural network, e.g., deep learning, seemingly promises connectionism to go beyond what it is. But those(Fodor & Pylyshyn, Fodor, & McLaughlin) who advocate classical computationalism, or symbolism claim that connectionism must fail since it cannot represent the relation between human thoughts and human language. The neural network lacks systematicity, so any output of neural network is at best association or accidental combination of data plugged in input units. In this paper, I first introduce structure of artificial neural network and what connectionism amounts to. Second, I shed light on the problem of systematicity the classical computationalists pose for the connectionists. Third, I briefly introduce how those who advocate connectionism respond to the criticism while noticing Smolensky's theory of vector product. Finally, I examine the debate of computationalism and connectionism on systematicity, and show how the problem of systematicity contributes to the development of connectionism and computationalism both.

Expert Exploration Using Social Network Analysis (사회연결망 분석 이용 전문가 탐색)

  • Kim, Jin-Gwang;Yoon, Soung-Woong;Lee, Sang-Hoon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.01a
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    • pp.171-174
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    • 2019
  • 본 논문에서는 사회연결망 분석을 이용하여 군 장비정비정보체계의 정비데이터를 분석하고 이를 통해 정비 분야 전문가를 파악하고자 하였다. 장비정비정보체계는 군에서 장비를 효율적으로 정비하고 관리하기 위해 2009년부터 운용하고 있는 체계로 해군한 정비부대에 대한 2017년 정비데이터(00,000건)의 일부(0,000건)를 페이지랭크 중심성 분석을 통해 정비 분업화 수준과 참여도를 확인함으로써 전문분야를 확인하였다.

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Effects of External Factors on Corruption in Government Society (공직사회의 외부요인이 공직부패에 미치는 영향)

  • Bae, Young-Min;Han, Seung-Jo
    • Journal of Digital Convergence
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    • v.18 no.10
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    • pp.129-136
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    • 2020
  • The purpose of this study is to identify the influence of external-social and cultural factors on the perception of corruption in the public society through the Structural Equation Model(SEM) and to seek ways to reduce corruption in the public society. Currently the level of corruption in public sectors that people think is still large, and it is necessary to continuously reduce corruption in public sectors in order to improve national competitiveness. Since one society is a part of a country in system theory and social network theory, public society needs quantitative research in order to find the causes of corruption and solve them. The model was built and the variables were defined in SEM based on 600 questionnaires. As a result of analysis, corruption in public offices has decreased since the implementation of the solicitation and graft law, and socio-cultural factors have had a direct impact on corruption in public offices. The further research area is to seek detailed ways for transforming the education and awareness of civil society across the country in addition to the efforts of the public officials themselves in order to reduce corruption in public offices.

The Reality of Community through Social Network Analysis: the Case of 7 Sansa, Buddhist Mountain Monasteries in Korea (사회연결망 분석을 통해 본 지역공동체의 실제: 7개 산사, 한국의 산지승원을 중심으로)

  • Kim, Sook-Jin
    • Journal of the Economic Geographical Society of Korea
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    • v.20 no.1
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    • pp.49-69
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    • 2017
  • The crisis of western welfare states and the spread of neoliberalism opened up the debate on community question and paid attention to community to cope with diverse social crises. There has been increasing recognition for the need to see World Heritage in terms of place and local community which had formed it rather than an object for conservation separated from the place where it is located. In addition, the conservation and use of cultural heritage can lead to the region's sustainable development and in turn is possible with the region's overall development. However, the Operational Guidelines for the Implementation of the World Heritage Convention does not specify the definition and geographic extent of community. This paper considers place-based communities, Sahachons and religious communities, Sindohoes of seven Buddhist monasteries in preparation for inscription on the UNESCO World Heritage List, and analyzes social networks of these two types of communities to see their consistency with their general characteristics. Social networks analyses indicates that some monasteries show significant differences between Sahachons and Sindohoes, but others do not. This result implies that communities should be seen as processes of constantly reconstituting their features and boundaries under their specific surroundings which are also in constant changes, thus requiring empirical studies.

Task Conformance Checking Technique for the Business Process Resource applying Social Network Analysis (사회연결망 분석을 응용한 비즈니스 프로세스 자원의 업무 적합성 판단 기법)

  • Lee, Seung-Hoon;Kim, Gun-Woo;Choi, Joongmin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.11a
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    • pp.54-57
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    • 2010
  • 최근 비즈니스 프로세스가 주목을 받으며 기업에서는 비즈니스 프로세스의 개선을 중요하게 생각하기 시작했다. 기업은 비즈니스 프로세스를 개선하기 위해 BPR(Business Process Re-engineering)등의 혁신 프로그램을 도입했지만 그 효과나 성공률이 상당히 미흡했다. 성공적인 프로세스의 혁신을 위해서는 프로세스 모델의 개편과 함께 자원 및 자원의 관리 방식의 개편도 필수적이다. 그렇지만 지금까지의 프로세스 혁신은 프로세스 모델 중심으로만 이루어졌으며 자원 및 자원의 관리 방식의 개편에 대한 연구는 미흡한 실정이다. 이런 문제점을 해결하기 위하여 최근 실제 발생한 비즈니스 프로세스 인스턴스를 기록한 프로세스 로그를 기반으로 효율적인 자원할당 및 통제방안에 대한 연구가 진행되고 있다. 본 논문에서는 사회 연결망을 응용하여 각 자원간의 연결을 고려하여 비즈니스 프로세스의 업무에 적합한 자원을 판단할 수 있는 방법을 제시하였다.