Ica2012 preconference keynote

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Ica2012 preconference keynote

  1. 1. WEBOMETRICS INSTITUTEComputational Social Science Approaches to Studying Political Communication Asso. Prof. Han Woo PARK CyberEmotions Research Institute Dept. of Media & Communication YeungNam University 214-1 Dae-dong, Gyeongsan-si, Gyeongsangbuk-do 712-749 Republic of Korea http://www.hanpark.net http://asia-triplehelix.org A Keynote to 2012 International Communication Association’s Preconference New Media and Citizenship in Asia: Social Media, Politics, and Community-Building.
  2. 2. Existing approaches in science and reality
  3. 3. Computational perspective based on the use of high performance computing Two major to facilitate high-speed processing of strands exist in large volumes of digital data computational science The networking perspective based on (also called virtual collaboration through the Grid e-Science) A third alternative strand ? e-Science in humanities and social sciencesPark, H. WCU (2010). Mapping the e-science landscape in South Korea using the webometrics W. WEBOMETRICS INSTITUTE method. Journal ofPOLITICS WITH E-RESEARCH TOOLS INVESTIGATING INTERNET-BASED Computer-Mediated Communication, Vol. 15, No. 2. 211 – 229
  4. 4. Computational Social Science (CSS)A minor but growing approach to the study of societyFocus on the methodological perspective based on the use of new digital tools to manage the data deluge
  5. 5. CSS Approach1. development of webometric tools to automate social Internet research process (e.g., data collection and analysis from search engines, SNS and microblogging sites)2. experimentation with new types of data visualization (e.g, HNA and dynamic geographical mappings using Google)
  6. 6. Why CSS?Bonacich, P. (2004).The Invasion of the Physicists. Social Networks 26(3): 285-288 • Savage and Burrows (2007, p. 886) laments, “Fifty years ago, academic social scientists might be seen as occupying the apex of the – generally limited – social science research „apparatus‟. Now they occupy an increasingly marginal position in the huge research infrastructure.
  7. 7. 7
  8. 8. All modes are wrong but some are useful - Emergence of data author on dataverse
  9. 9. “Webometrics refers to a set of research methods thatillustrates texts and their web linkages as a network andquantitatively examine the spreadable aspects of web-mediated communication activities of social actors andissues (Jenkins, 2011), in comparison to traditionalmethods (Savage & Burrows, 2007; Salganik &Levy, 2012). ” (by Han Woo Park)
  10. 10. http://participatorysociety.org/wiki/index.php?title=Online_Research
  11. 11. Seminal publications: * 실시간 피인용률 보기 Garton, L., Haythornthwaite, C., & Wellman, B. (1997 ). Studying online social networks. Journal of Compu ter-Mediated Communication, 3(1). Wellman, B. (2001). Computer networks as social n etworks, Science, Vol. 293, Issue (14), pp. 2031-203 4. Park, H. W. (2003). Hyperlink network analysis: A ne w method for the study of social structure on the web . Connections, 25(1), 49-61 . Park, H. W., & Thelwall, M. (2003). Hyperlink analyse s of the World Wide Web: A review. Journal of Comp uter-Mediated Communication, 8(4).
  12. 12. Recent special issues related to CSS Special issues - Social Science Computer Review, 2011, 29(3) Theme: Social Networking Activities Across Countries - Asian Journal of Communication, 2011, 21(5), Theme: Online Social Capital and Participation in Asia- Pacific - Scientometrics, 2012, 90(2) Theme : Triple Helix and Innovation in Asia using Scientometrics, Webometrics, and Informetrics - Journal of Computer-Mediated Communication, 2012, 17(2) Theme: Hyperlinked Society
  13. 13. Selected publications related to CSS Recent publications- Park, H. W., Barnett, G. A., & Chung, C. J. (2011). Structural changes in the global hyperlink network: Centralization or diversification. Global networks. 11 (4). 522–542- Lim, Y. S., & Park, H. W. (2011). How Do Congressional Members Appear on the Web?: Tracking the Web Visibility of South Korean Politicians. Government Information Quarterly. 28 (4), 514-521.- Sandra González-Bailón, Rafael E. Banchs and Andreas Kaltenbrunner (2012). Emotions, Public Opinion, and U.S. Presidential Approval Rates: A 5-Year Analysis of Online Political Discussions Human Communication Research- Sams, S., Park, H. W. (2012 forthcoming). The Presence of Hyperlinks and Messages on Social Networking Sites: A Case Study of Cyworld in Korea. Journal of Computer-Mediated Communication- Nam, Y., Lee, Y.-O., Park, H.W. (2013, March). Can web ecology provide a clearer understanding of people’s information behavior during election campaigns?. Social Science Information.
  14. 14. Web Hyperlink Networks as Social Networks
  15. 15. Results Frequently occurring key words in e-science webpages in South Korea Created on Many Eyes(http://many-eyes.com) E-science in Asia: Dreams and realities for social science researchPark, H. W. (2010). Mapping the e-science landscape in South Korea using the webometrics method. Journal of Computer-Mediated Communication, Vol. 15, No. 2. 211 – 229
  16. 16. Websites retrieved more than two timesNote: Websites are larger according to their frequency of retrieval; however, heircolors and locations are randomly-chosen for the best visualizationPark, H. W. (2010). Mapping the e-science landscape in South Korea using the webometrics method. Journal of Computer-Mediated Communication, Vol. 15, No. 2. 211 – 229
  17. 17. Author types of Korea e-science websites Author types No. of sites Percent Mass media 27 26.0 Public/Government 18 17.3 Technology Media 17 16.3 Portals/Search 15 14.4 engines/Blogs Private/Industry 14 13.5 Academic/University 13 12.5 Total 104 100.0 Media sites were the most frequently retrieved, with slightly less than half of the sites for this study (44 out of 104 sites)Park, H. W. (2010). Mapping the e-science landscape in South Korea using the webometrics method. Journal of Computer-Mediated Communication, Vol. 15, No. 2. 211 – 229
  18. 18. Co-link network analysisPark, H. W. (2010). Mapping the e-science landscape in South Korea using the webometrics method. Journal of Computer-Mediated Communication, Vol. 15, No. 2. 211 – 229
  19. 19. Inter-link network analysis diagram among Korean e-science sites within public domainPark, H. W. (2010). Mapping the e-science landscape in South Korea using the webometrics method. Journal of Computer-Mediated Communication, Vol. 15, No. 2. 211 – 229
  20. 20. Conclusion Mindset shift• Scholars and researchers in social sciences need to recognize and acknowledge the opportunities that are available– E.g. access to vast data and new modes of data collection and analysis• The emerging era of networked research leads to two possible scenarios –Education and training programs have to be put in place to produce a new breed of social scientists with combined expertise and knowledge of computational science and social sciences –What is more actionable in the shorter term is to engender and promote collaborative efforts between these different fields WCU WEBOMETRICS INSTITUTE http://blog.jove.com/wp-content/uploads/2012/05/Publishing.png
  21. 21. ConclusionMindset shift• In Korea, there appears to be a lack of desire for either distance international collaboration through the Access Grid or the use of high performance computing facilities among social scientists – Little demand as social scientists’ current choices for their research practices are still shaped by offline facilities rather than online technology capabilities – Policy-makers and technology developers to involve social scientists in design and application processes, but change in mindset among researchers is needed to transform e-science into a reality for social scientists Good role model in the West – Oxford Internet Institute, The Virtual Knowledge Studio for the Humanities and Social Sciences, The Institute for Quantitative Social Science at Harvard University WCU WEBOMETRICS INSTITUTE
  22. 22. The Future of Computational Social Science

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