Corroborating social media echelon in cancer research

Article
  • 37 Downloads

Abstract

Worldwide medical facilities differ, and for this reason, the causes of death can vary. Cancer is considered the second leading cause of death after heart disease worldwide, and the same causes of death are observed in the United States (US). Therefore, the purposes of this study are to explore worldwide research levels in the field of cancer and the social collaboration of researchers and institutions in this field. This article examines the structural patterns of international co-authors and co-institutions in science citation index papers in cancer research. The study uses measures from the social network analysis method, including degree centrality, betweenness centrality, eigenvector centrality, and effectiveness, to investigate the effects of social networks in the area of cancer research. Empirical analysis results identify the US is the most central country, followed by Germany, Italy, France, and China, in terms of co-authored networks in this research field. Institutional analysis results indicate that the University of Milan is at the top in terms of degree centrality. The Gustave Roussy Cancer Campus in France and German University of Düsseldorf occupy the second and fourth positions, respectively. The University of California in Los Angeles and Harvard University, both in the US, are at third and fifth positions, respectively.

Keywords

Data mining Social network analysis Cancer Co-authorship network Co-institutions network World and cancer 

References

  1. Biscaro, C., Giupponi, C.: Co-authorship and bibliographic coupling network effects on citations. Plos One 9(6), e99502 (2014)CrossRefGoogle Scholar
  2. Bonacich, P.: Factoring and weighting approaches to status scores and clique identification. J. Math. Sociol. 2(1), 113–120 (1972)CrossRefGoogle Scholar
  3. Borgatti, S.P., Everett, M.G., Freeman, L.C.: Ucinet for Windows: Software for social network analysis. Analytic Technologies, Harvard, MA (2002)Google Scholar
  4. Burt, R.S.: Structural Holes: The Social Structure Of Competition. Harvard University Press, Cambridge (1992)Google Scholar
  5. Choi, S., Yang, J.S., Park, H.W.: The triple helix and international collaboration in science. J. Assoc. Inf. Sci. Technol. 66(1), 201–212 (2015)CrossRefGoogle Scholar
  6. Freeman, L.C.: Centrality in social networks conceptual clarification. Soc. Netw. 1(3), 215–239 (1978)CrossRefGoogle Scholar
  7. Freeman, L.C., Borgatti, S.P., White, D.R.: Centrality in valued graphs: a measure of betweenness based on network flow. Soc. Netw. 13(2), 141–154 (1991)CrossRefGoogle Scholar
  8. Gautam, P., Kodama, K., Enomoto, K.: Joint bibliometric analysis of patents and scholarly publications from cross-disciplinary projects: implications for development of evaluative metrics. J. Contemp. East. Asia 13(1), 19–37 (2014)CrossRefGoogle Scholar
  9. Grossetti, M., Eckert, D., Gingras, Y., Jégou, L., Larivière, V., Milard, B.: Cities and the geographical deconcentration of scientific activity: a multilevel analysis of publications (1987–2007). Urban Stud. 51(10), 2219–2234 (2014)CrossRefGoogle Scholar
  10. Hanneman, R.A., Riddle, M.: Introduction to social network methods. University of California, Riverside, CA (2005)Google Scholar
  11. Kamada, T., Kawai, S.: An algorithm for drawing general undirected graphs. Inf. Process. Lett. 31(1), 7–15 (1989)CrossRefGoogle Scholar
  12. Khan, G.F., Lee, S., Park, J.Y., Park, H.W.: Theories in communication science: a structural analysis using webometrics and social network approach. Scientometrics 108(2), 531–557 (2016)CrossRefGoogle Scholar
  13. Kwon, K.S., Park, H.W., So, M., Leydesdorff, L.: Has globalization strengthened South Korea’s national research system? National and international dynamics of the Triple Helix of scientific co-authorship relationships in South Korea. Scientometrics 90(1), 163–176 (2012)CrossRefGoogle Scholar
  14. Khan, G.F., Park, H.W.: International collaboration within electronic government research domain: a triple helix network analysis of collaboration at the regional, country, and institutional levels. Gov. Inf. Q. 30(2), 182–193 (2013). doi:10.1016/j.giq.2012.09.003 CrossRefGoogle Scholar
  15. Kim, L., Park, H.W.: Diagnosing “Collaborative Culture” of Biomedical Science in South Korea: misoriented Knowledge, Competition, and Failing Collaboration. East Asian Sci. Technol. Soc. 9(3), 233–252 (2015)CrossRefGoogle Scholar
  16. Leydesdorff, L.: Betweenness centrality as an indicator of the interdisciplinarity of scientific journals. J. Am. Soc. Inf. Sci. Technol. 58(9), 1303–1319 (2007)CrossRefGoogle Scholar
  17. Leydesdorff, L., Wagner, C., Park, H.W., Adams, J.: International collaboration in science: the global map and the network. arXiv preprint arXiv:1301.0801. (2013)
  18. Leydesdorff, L.: The Sciences are Discursive Constructs: The Communication Perspective as an Empirical Philosophy of Science. Communication and Technology, De Gruyter Mouton (2015)Google Scholar
  19. Lu, Y., Luo, X., Polgar, M., Cao, Y.: Social network analysis of a criminal hacker community. J. Comput. Inf. Syst. 51(2), 31–41 (2010)Google Scholar
  20. Mehmood, A., Choi, G.S., Feigenblatt, O.F., Park, H.W.: Proving ground for social network analysis in the emerging research area “Internet of Things” (IoT). Scientometrics 109(1), 185–201 (2016)CrossRefGoogle Scholar
  21. Moed, H.F.: Bibliometric indicators reflect publication and management strategies. Scientometrics 47(2), 323–346 (2000)CrossRefGoogle Scholar
  22. National Cancer Institutes (NCI): USA has continuously investing http://www.cancer.gov/about-nci/budget/annual-plan/nci-plan-2016.pdf 11 September 2016
  23. Otte, E., Rousseau, R.: Social network analysis: a powerful strategy, also for the information sciences. J. inf. Sci. 28(6), 441–453 (2002)CrossRefGoogle Scholar
  24. Park, H.W., Leydesdorff, L.: Korean journals in the Science Citation Index: what do they reveal about the intellectual structure of S&T in Korea? Scientometrics 75(3), 439–462 (2008)CrossRefGoogle Scholar
  25. Park, H.W., Leydesdorff, L.: Longitudinal trends in networks of university–industry–government relations in South Korea: the role of programmatic incentives. Res. Policy 39(5), 640–649 (2010)CrossRefGoogle Scholar
  26. Park, H.W.: How do social scientists use link data from search engines to understand Internet-based political and electoral communication? Qual. Quant. 46(2), 679–693 (2012)CrossRefGoogle Scholar
  27. Park, H.W., Leydesdorff, L.: Decomposing social and semantic networks in emerging “big data” research. J. Informetr. 7(3), 756–765 (2013)CrossRefGoogle Scholar
  28. Shapiro, M.A., So, M., Woo Park, H.: Quantifying the national innovation system: inter-regional collaboration networks in South Korea. Technol. Anal. Strateg. Manag. 22(7), 845–857 (2010)CrossRefGoogle Scholar
  29. Shapiro, M.A., Park, H.W.: Regional development in South Korea: accounting for research area in centrality and networks. Scientometrics 90(1), 271–287 (2012)CrossRefGoogle Scholar
  30. Wagner, M., Vicinus, B., Muthra, S.T., Richards, T.A., Linder, R., Frick, V.O., Groh, A., Rubie, C., Weichert, F.: Text mining, a race against time? An attempt to quantify possible variations in text corpora of medical publications throughout the years. Comput. Biol. Med. 73, 173–185 (2016)CrossRefGoogle Scholar
  31. Wagner, C.S.: The New Invisible College: Science for Development, vol. 88. Brookings Institution Press, Washington, DC (2008)Google Scholar
  32. Wasserman, S., Faust, K.: Social Network Analysis: Methods and Applications, vol. 8. Cambridge University Press, New York (1994)CrossRefGoogle Scholar
  33. World Cancer Research Fund International (WCRFI): Data for cancer frequency by country http://www.wcrf.org/int/cancer-facts-figures/data-cancer-frequency-country 11 September 2016
  34. Yoon, J., Park, H.W.: Triple helix dynamics of South Korea’s innovation system: a network analysis of inter-regional technological collaborations. Qual. Quant. 1–19 (2016). doi:10.1007/s11135-016-0346-x

Copyright information

© Springer Science+Business Media Dordrecht 2017

Authors and Affiliations

  1. 1.Department of Information and Communication EngineeringYeungnam UniversityGyeongsanRepublic of Korea
  2. 2.Department of Statistics and Computer ScienceKunsan National UniversityGunsanSouth Korea
  3. 3.Sorrel College of BusinessTroy UniversityTroyUSA
  4. 4.Department of Media and CommunicationYeungnam UniversityGyeongsanRepublic of Korea

Personalised recommendations