• Asian Journal of Innovation and Policy
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• 제6권2호
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• pp.111-137
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• 2017

This study analyzes a language network of Science and Technology Basic Plan, which is the basis for science and technology policy in Korea, for the next Science and Technology Basic Plan. Language network analysis was adopted for a quantitative approach measuring the trend of policies. Several techniques such as keyword analysis, language network map analysis, quantitative characteristics analysis and keyword-related major-word analysis have been performed. Results show that there are common policies emphasized by all Science and Technology Basic Plans in the past, and there are also specific policies emphasized in each period of the Science and Technology Basic Plan. These specific policies come from a 'change of times' when the Science and Technology Basic Plans were established, as well as the philosophy of the national government.

• 보건행정학회지
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• 제25권2호
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• pp.129-139
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• 2015

Background: Policy network theory was proved to be an appropriate analytic tool for the current social welfare policy making process. This study aimed to analyze policy making process related to the nurse expansion and policy output while focusing on the interactions and activities among various policy actors. Methods: In this study, we used reports related to the need for expansion of nursing personnel journals, dissertations, newspaper articles, for hearings and debate policies for securing nurse data, and interviews. We examined three components of policy network, that is, policy actors, interactions, linkage of interest. Results: For that to expand the nurse before the 2000s in expanding the supply of medical supplies have been conducted without much disagreement among policy actors under the government's initiative. However, there was lacked a close relationship between the expanding supply of nurses and inaccurate analysis of supply and demand. As the policy is applied between the various policy actors' needs and claims, conflict was intensified and many policy options had been developed. Government only took a role as a coordinator among policy actors in the 2000's. Also, it was difficult to find sufficient and clear evidence that policy-making process based on fair judgment. Conclusion: Therefore, it is urgently required to determine the policy through a social consensus to address the appropriate policy means and the process by correct analysis of the policy issues.

• International Journal of Advanced Culture Technology
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• 제6권2호
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• pp.58-64
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• 2018

This main purpose of the study is to identify social network of communicators sharing information on Bokjiro for publicizing welfare policy. This study employs NodeXL pro to understand networks and their role in the social network. The data for social network analysis was collected from Twitter for a week. The result of the analysis shows that the social network of communicators on Bokjiro does not have many nodes. It also has an independent network with high possibility of information distortion. Little communicators have controlling power in information flow in one way of communication. According to the result, it is not effective for marketing strategy of welfare policy in providing online information through Bokjiro. The study suggests that the government should use the transactional approach to marketing based on agent-oriented activity focusing on the exchange relationship between information providers and demanders in an age of networked intelligence.

• 보건행정학회지
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• 제29권2호
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• pp.138-145
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• 2019

Background: The purpose of this study is supposed to figure out the keyword network from 2009 to 2018 with social network analysis and provide the research data that can help the Korea government's policy making on smoking cessation. Methods: First, frequency analysis on the keyword was performed. After, in this study, I applied three classic centrality measures (degree centrality, betweenness centrality, and eigenvector centrality) with R 3.5.1. Moreover, I visualized the results as the word cloud and keyword network. Results: As a result of network analysis, 'smoking' and 'smoking cessation' were key words with high frequency, high degree centrality, and betweenness centrality. As a result of looking at trends in keyword, many study had been done on the keyword 'secondhand smoke' and 'adolescent' from 2009 to 2013, and 'cigarette graphic warning' and 'electronic cigarette' from 2014 to 2018. Conclusion: This study contributes to understand trends on smoking cessation study and seek further study with the keyword network analysis.

• Journal of Contemporary Eastern Asia
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• 제18권2호
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• pp.90-117
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• 2019

How is science advice integrated in environmental policymaking? This is an increasingly pertinent question that is being raised since the nuclear catastrophe of Fukushima, Japan, in 2011. Global re-evaluation of energy policies and climate mitigation measures include discussions on how to better integrate science advice in policymaking, and at the same time keeping science independent from political influence. This paper addressed the policy discourse of setting up a national CO2 reduction target in Japanese policymaking between 2009 and 2012. The target proposed by the former DPJ government was turned down, and Japan lacked a clear strategy for long-term climate mitigation. The analysis provides explanations from a quantitative actor-network perspective. Centrality measures from social network analysis for policy actors in an environmental policy network of Japan were calculated to identify those actors that control the discourse. Data used for analysis comes from the Global Environmental Policy Actor Network 2 (GEPON 2) survey conducted in Japan (2012-13). Science advice in Japan was kept independent from political influence and was mostly excluded from policymaking. One of the two largest discourse coalitions in the environmental policy network promoted a higher CO2 reduction target for international negotiations but favored lowering the target after a new international agreement would have been set. This may explain why Japan struggled to commit to long-term mitigation strategies. Applying social network analysis to quantitatively calculate discourse coalitions was a feasible methodology for investigating "discursive power." But limited in discussing the "practice" (e.g. meetings, telephone, or email conversations) among the actors in discourse coalitions.

• 한국IT서비스학회지
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• 제15권1호
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• pp.97-111
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• 2016

In the creative economy paradigm, motivation of the opportunity based startup is a continuous concern to policy-makers. Recently, bigdata anlalytics challenge traditional methods by providing efficient ways to identify social trend and hidden issues in the public sector. In this study the authors introduce a case study using social bigdata analytics for conducting policy analysis. A semantic network analysis was employed using textual data from social media including online news, blog, and private bulletin board which create buzz on the startup business. Results indicates that each media has been forming different discourses regarding government's policy on the startup business. Furthermore, semantic network structures from private bulletin board reveal unexpected social burden that hiders opening a startup, which has not been found in the traditional survey nor experts interview. Based on these results, the authors found the feasibility of using social bigdata analysis for policy-making. Methodological and practical implications are discussed.

• 정보관리연구
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• 제36권4호
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• pp.199-215
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• 2005

과학기술 전문가 커뮤니티로서 가장 성공적인 모델인 '한민족과학기술자네트워크(이하 KOSEN)'를 대상으로 정책 네트워크의 분석방법을 이용하여 네트워크가 갖는 고유의 특성을 유형별로 분석해 보고자 한다. 과학기술 전문인력을 대상으로 하는 KOSEN을 사례로 정책 네트워크 분석을 적용, 지식전문가 네트워크의 유형을 구분해 보았다. KOSEN에 대한 개괄적인 특성분석과 더불어 참여자의 특성에 따라 전문가 그룹 네트워크를 정책공동체의 핵심 및 주변공동체와 이슈 네트워크로 세분화했다. 정책 네트워크의 분석수준과 관련하여 본 연구는 네트워크의 속성을 개인의 행위로 환원시켜서 이해하는 미시적 접근에 초점을 두었다.

• 한국콘텐츠학회논문지
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• 제17권11호
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• pp.371-382
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• 2017

본 연구는 콘텐츠산업정책을 포괄하는 문화정책에 대한 학술적 연구의 동향을 알고자 언어네트워크분석을 통해 국내의 가장 대표적인 문화정책 분야 전문학술지인 '문화정책논총'에 수록된 186편의 논문 주제어 832개를 대상으로 분석을 시도하였다. 시간적 범위는 한국연구재단 한국학술지인용색인 홈페이지(www.kci.go.kr)에 수록되어 있는 2008년 10월부터 2017년 1월까지로 하였다. 언어네트워크 분석은 주제어 빈도수, 밀도분석과 중심성을 지표로 분석하였으며, 이를 바탕으로 Netdraw 프로그램에 의한 시각화를 시도하였다. 언어네트워크분석 결과 가장 많은 빈도수를 기록한 주제어는 '문화'였고, '문화정책/행정', '문화산업/문화콘텐츠', '정책'이 최다의 빈도수를 기록한 그룹에 포함되었다. 빈도수가 높은 '문화정책/행정'과 '문화산업/문화콘텐츠'는 대부분의 중심성에서 우위를 차지했으나, 매개중심성은 낮아 다른 주제어들과의 중매 역할에는 한계를 드러냈다.

• Journal of Preventive Medicine and Public Health
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• 제47권6호
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• pp.298-308
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• 2014

Objectives: To assess the current public participation in-local health policy and its implications through the analysis of policy networks in health center programs. Methods: We examined the decision-making process in sub-health center installations and the implementation process in metabolic syndrome management program cases in two districts ('gu's) of Seoul. Participants of the policy network were selected by the snowballing method and completed self-administered questionnaires. Actors, the interactions among actors, and the characteristics of the network were analyzed by Netminer. Results: The results showed that the public is not yet actively participating in the local public health policy processes of decision-making and implementation. In the decision-making process, most of the network actors were in the public sector, while the private sector was a minor actor and participated in only a limited number of issues after the major decisions were made. In the implementation process, the program was led by the health center, while other actors participated passively. Conclusions: Public participation in Korean public health policy is not yet well activated. Preliminary discussions with various stakeholders, including civil society, are needed before making important local public health policy decisions. In addition, efforts to include local institutions and residents in the implementation process with the public officials are necessary to improve the situation.

• 산업공학
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• 제14권1호
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• pp.30-38
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• 2001

Logistics network management has become one of the most important sources of competitive advantage regarding logistics cost and customer service in numerous business segments. Logistics network simulation is a powerful analysis method for designing and planning the logistics network optimally in an integrated way. This paper introduces a logistics network simulator, LONSIM, developed by author. LONSIM deploys a mix of simulation and optimization functions to model and analysis logistics network issues such as facility location, inventory policy, manufacturing policy, transportation mode, warehouse assignment, supplier assignment, order processing priority rule, and vehicle routes. LONSIM is built with AweSim 2.1 and Visual Basic 6.0, and executed in windows environment.