• Title, Summary, Keyword: Social Network Policy

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Network Analysis on Communication of Welfare Policy Using Twitter Data

  • Seo, Bojun;Lee, Soochang
    • International Journal of Advanced Culture Technology
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    • v.6 no.2
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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.

Methodological Implications of Employing Social Bigdata Analysis for Policy-Making : A Case of Social Media Buzz on the Startup Business (빅데이터를 활용한 정책분석의 방법론적 함의 : 기회형 창업 관련 소셜 빅데이터 분석 사례를 중심으로)

  • Lee, Young-Joo;Kim, Dhohoon
    • Journal of Information Technology Services
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    • v.15 no.1
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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.

The Relationship Between the Social Network of Community-living Elders and Their Health-related Quality of Life in Korean Province

  • Lim, Jun Tae;Park, Jong-Heon;Lee, Jin-Seok;Oh, Juhwan;Kim, Yoon
    • Journal of Preventive Medicine and Public Health
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    • v.46 no.1
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    • pp.28-38
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    • 2013
  • Objectives: This study aimed to collect information that will help enhance the social networks and improve the quality of life among elderly people by observing the relationship between their social network and health-related quality of life (HRQoL) and by analyzing social network factors affecting HRQoL. Methods: This study was based on the 2008 Community Health Survey in Yeoncheon County. Three hundred elders were included in the study population. We compared the revised Lubben Social Network Scale (LSNS-R) score and Euro quality of life-5 dimensions health status index by demographic characteristics and chronic disease prevalence. We analyzed the data using multiple regression and tobit regression by setting the HRQoL as the dependent variable and social network and other characteristics as the independent variables. We analyzed social network factors by using factor analysis. Results: The LSNS-R score differed significantly according to age and existence of a spouse. According to the results from the hierarchical multiple regression analysis, the LSNS-R explained 0.10 of the variance and LSNS-R friends factor explained 0.10 of the variance. The tobit regression indicated that the contribution of the LSNS-R family size factor to the regression coefficient of the independent variable that affected the HRQoL was $B_T$=2.96, that of the LSNS-R family frequency factor was $B_T$=3.60, and that of LSNS-R friends factor was $B_T$=5.41. Conclusions: Social networks among elderly people had a significant effect on HRQoL and their networks of friends had a relatively higher effect than those of family members.

A Social Network Analysis of Research Key Words Related Smoke Cessation in South Korea (연결망 분석을 활용한 우리나라 금연연구 동향분석)

  • An, Eun-Seong
    • Health Policy and Management
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    • v.29 no.2
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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.

Investigating Science-Policy Interfaces in Japanese Politics through Climate Change Discourse Coalitions of an Environmental Policy Actor Network

  • Hartwig, Manuela G.
    • Journal of Contemporary Eastern Asia
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    • v.18 no.2
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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.

An Analysis on the Nurse Expansion Policies through Policy Network (정책네트워크 이론을 이용한 간호사 확보를 위한 정책과정 분석)

  • Ko, Yu-Kyung;Park, Bo-hyun
    • Health Policy and Management
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    • v.25 no.2
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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.

Social Network Service how to take advantage of Social Commerce?: Focus on Distribution implications (소셜네크워크 서비스를 소셜커머스 유통시장에 어떻게 활용할 것인가?: 정책적 함의를 중심으로)

  • Kim, Koosung
    • Journal of Digital Convergence
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    • v.10 no.11
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    • pp.261-269
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    • 2012
  • The purpose of this study was to suggest policies that take advantage of social networking services in the field of social commerce. Presented it, in order for the concept of a social network service for the first time, were examined by four representative types of social network services, and analyzed the characteristics of each. Domestic current status and concepts presented and the addition of social commerce, and analyzed the characteristics of each type proposed six kinds. Utilizing social network services to the end, was to suggest measures that can be incorporated into the social commerce business. The results of this study suggested that the marketing implications for how social network services in the social commerce business that can be utilized in companies that will say that its worth.

Relationships between Social Support & Social Network and Health Behavior (사회적 지지, 사회 조직망과 건강행태의 관련성)

  • Park, Jun;Kang, Gil-Won;Tak, Yang-Ju;Chang, Soung-Hoon;Lee, Kun-Sei;Kim, Hyeong-Su
    • Health Policy and Management
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    • v.21 no.4
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    • pp.493-510
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    • 2011
  • Objectives : This study aims to explore how social support and social network are related with health behavior. Methods : The target population was 12,449 people in Chungcheongbuk-do. The sample was accrued for the period of 3 months in 2008 by face to face interview of direct visiting from systematic sampling method. The instruments used in this study were social support, social network and health behavior. Results : There was significant difference in the level of social support and social network by sex, age, educational level, occupation, and monthly income(p<0.05). There was significant difference in the level of social support by alcohol drinking, physical exercise. There was significant difference in the level of social network by smoking, alcohol drinking, physical exercise, obesity(p<0.05). Multivarite analysis shows significant difference in the level of social instrumental support by smoking, physical exercise. It shows significant difference in the level of social emotional support by smoking. It also shows significant difference in the level of social network by smoking, physical exercise. Conclusion : These results suggest that social support and social network may be associated with health behavior. Because this study was cross sectional research, the order was not found between social support, social network and health behavior. Through a study on monitoring, we will obtain more information for relationship.

Implementation of Privacy Protection Policy Language and Module For Social Network Services (소셜 네트워크 서비스를 위한 프라이버시 보호 정책언어 및 프라이버시 보호 모듈 구현)

  • Kim, Ji-Hye;Lee, Hyung-Hyo
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.21 no.1
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    • pp.53-63
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    • 2011
  • An SNS(Social Network Service) enables people to form a social network on online as in the real world. With the rising popularity of the service, side effects of SNSs were issued. Therefore we propose and implement a policy-based privacy protection module and access control policy language for ensuring the right of control of personal information and sharing data among SNSs. The policy language for protecting privacy is based on an attribute-based access control model which grants an access to personal information based on a user's attributes. The policy language and the privacy protection module proposed to give the right of control of personal information to the owner, they can be adopted to other application domains in which privacy protection is needed as well as secure sharing data among SNSs.

Acculturation, Social Network, and Health-related Quality of Life in Korean-Chinese Immigrants (조선족 이민자의 문화적응, 사회적 관계망과 건강 관련 삶의 질의 관계)

  • Lee, Meenhye;Lee, Hyeonkyeong;Kim, Sue;Jang, Yeonsoo
    • Journal of Korean Academy of Community Health Nursing
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    • v.24 no.4
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    • pp.438-450
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    • 2013
  • Purpose: The purpose of this study is to identify relationships between acculturation, social network, and health-related quality of life (HRQOL) among Korean-Chinese immigrants. Methods: A cross-sectional descriptive study was conducted with 147 Korean-Chinese immigrants who were residing more than 1 year in Korea. Physical and mental dimensions of HRQOL were assessed by Short Form-12 Health Survey that consisted of a physical component summary (PCS) and a mental component summary (MCS). Data were analyzed with Pearson's correlation and multiple regression. Results: The mean PCS score was $41.14{\pm}10.72$ and the mean MCS score was $49.09{\pm}11.31$ (possible range 10-70). Depression (${\beta}$=-6.43) and Social network frequency (${\beta}$=2.44) explained 28.4% of the variance in PCS while depression (${\beta}$=-11.54) and visiting clinic/hospital (${\beta}$=-4.00) explained 34.3% of the variance in MCS. Acculturation was not significantly associated with HRQOL. Conclusion: This study confirmed that the social network frequency influences HRQOL among Korean-Chinese Immigrants. The findings suggest that social network analysis should be considered in the process of developing health intervention strategies for Korean-Chinese immigrants.