International Journal of Advanced Culture Technology

The International Promotion Agency of Culture Technology (국제문화기술진흥원)
권호 표지
DOI QR코드

DOI QR Code

Network Analysis on Communication of Welfare Policy Using Twitter Data

  • Seo, Bojun (Faculty of Social Welfare Counseling, International University of Korea) ;
  • Lee, Soochang (Department of Police Administration, Kyungwoon University)
  • Received : 2018.06.19
  • Accepted : 2018.06.22
  • Published : 2018.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

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.

Keywords

References

  1. https://www.britannica.com/topic/welfare-state
  2. H. A., Elin, A. Bay and J. Saglie, "The New Politics of the welfare State? A Case Study of Extra- Parliamentary Party Politics in Norway", European Journal of Social Security, Vol. 15, No. 3, pp. 249-272, 2013. https://doi.org/10.1177/138826271301500302
  3. https://www.investopedia.com/terms/p/public-good.asp.
  4. M. M, Durland and K. A., Bricks, " Social Network Analysis in Program Evaluation. New Directions in Evaluation", No. 107, American Evaluation Association, 2016.
  5. M. Newman, Networks: An Introduction, Oxford: Oxford University Press, 2010.
  6. M. Newman, A-L, Barabási and D. J., Watts, The Structure and Dynamics of Networks, Princeton, NJ: Princeton University Press, 2006.
  7. S. Wasserman and K. Faust, Social Network Analysis: Methods and Applications, Cambridge: Cambridge University Press, 1994.
  8. BJ. Seo and SC, Lee, Network Analysis on Ageing Problems: Identifying Network Differences between Types of Cities, The International Journal of Advanced Culture Technology, Vol. 5, No. 2, pp. 19-25, 2017. https://doi.org/10.17703/IJACT.2017.5.2.19
  9. R. Drew and P. Aggleton, "Using Social Network Analysis to Evaluate a Complex Policy Network", Evaluation, Vol. 17, No. 4, pp. 383-394, 2011. https://doi.org/10.1177/1356389011421699
  10. P. M., Blau, Exchange and Power in Social Life, New York, NY: John Wiley & Sons, 1964.
  11. E. Rice and Y-M. Amanda, "Social Network Analysis as a Toolkit for the Science of Social Work", Journal of the Society for Social Work and Research, Vol. 6, No. 3, pp. 369-383, 2015. https://doi.org/10.1086/682723
  12. E. Otte & R. Rousseau, "Social Network Analysis: A Powerful Strategy, also for the Information Sciences", Journal of Information Science, Vol. 28, pp. 441-453, 2002. https://doi.org/10.1177/016555150202800601
  13. K. S., Cook, R. M., Emerson, M. R., Gillmore, & T. Yamagishi, "The Distribution of Power in Exchange Networks: Theory and Experimental Results", American Journal of Sociology, 275-305, 1983.