Quality & Quantity

, Volume 52, Issue 2, pp 801–813 | Cite as

Corroborating social media echelon in cancer research

  • Arif Mehmood
  • Byung-Won On
  • Ingyu Lee
  • Han Woo Park
  • Gyu Sang Choi


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.


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



This research was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. NRF-2016R1A2B1014843) for the second author (Byung-Won On), and is also supported by the Ministry of Trade, Industry & Energy (MOTIE, Korea) under the IndustrialTechnology Innovation Program, No. 10063130, by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2016R1A2B4007498), and the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2016-R2718-16-0035) supervised by the IITP (Institute for Information & communications Technology Promotion) for the fifth author (Gyu Sang Choi).


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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

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