, Volume 99, Issue 1, pp 117–137 | Cite as

Mapping ICT knowledge infrastructure in South Asia

  • Bobby Swar
  • Gohar Feroz KhanEmail author


Information Communication Technology (ICT) has a significant impact on the socioeconomic development of a country. However, the inequitable access to ICT still remains a major issue in developing countries. In this context, this study examines ICT knowledge infrastructure in South Asia from a network point of view. Existing research on ICTs are useful in understanding the common facts, but are limited in revealing the hidden structures and properties of the ICT research domain in South Asia. The hidden structures and properties, like key players, network of key players for scientific collaborations, and their network characteristics are analyzed and synthesized in this study. This study applies the mixed approach of Social Network Analysis techniques and Triple Helix indicators on scholarly papers obtained from the Web of Science database. Further, burst detection algorithm is applied on keywords appearing in the titles of the South Asian ICT scholarly papers to understand the emerging trends in the ICT research domain. This study helps in providing a better understanding of current trends, strengths, and weaknesses of ICT in South Asia, which provides a better understanding to bridge the digital divide and achieve socioeconomic development through ICT.


ICT South Asia Triple Helix Social Network Analysis University–industry–government Relationship Burst detection 


  1. Bailey, A. (2009). Issues affecting the social sustainability of telecentres in developing contexts: A field study of sixteen telecentres in Jamaica. The Electronic Journal of Information Systems in Developing Countries, 26(4), 1–18.Google Scholar
  2. Beaver, D. D. (2001). Reflections on scientific collaboration (and its study): past, present, and future. Scientometrics, 52(3), 365–377.CrossRefGoogle Scholar
  3. Berleur, J., & Chrisanthi, A. (2005). Perspectives and policies on ICT in society. New York: Springer.CrossRefGoogle Scholar
  4. Biggs, N., Lloyd, E., & Wilson, R. (1986). Graph theory. New York: Oxford Unviersity Press.zbMATHGoogle Scholar
  5. Chatziparadeisis, A. (2003). The R&D indicators in the knowledge-based economy: The research paradox. Accessed 11 Dec 2012.
  6. Chen, C. (2006). Citespace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of American Society for Information science and Technology, 57(3), 359–377.CrossRefGoogle Scholar
  7. Chen, C., Chen, Y., Horowitz, M., Hou, H., Liu, Z., & Pellegrino, D. (2009). Towards an explanatory and computational theory of scientific discovery. Journal of Informetrics, 3(3), 191–209.CrossRefGoogle Scholar
  8. Davison, R., Vogel, D., Harris, R., & Jones, N. (2000). Technology leapfrogging in developing countries: An inevitable luxury? The Electronic Journal of Information Systems in Developing Countries, 1(5), 1–10.Google Scholar
  9. Etzkowitz, H., & Leydesdorff, L. (2000). The dynamics of innovation: From national systems and mode 2 to a triple helix of university–industry–government relations. Research Policy, 29, 109–123.CrossRefGoogle Scholar
  10. Frame, J. D., & Carpenter, P. M. (1979). International research collaboration. Social Studies of Sciences, 9(4), 481–497.CrossRefGoogle Scholar
  11. Gonzalez, R., Gasco, J., & Llopis, J. (2006). Information system outsourcing: A literature analysis. Information and Management, 43, 821–834.CrossRefGoogle Scholar
  12. Guo, H., Weingart, S., & Borner, K. (2011). Mixed-indicators model for identifying emerging research areas. Scientometrics, 89, 421–435.CrossRefGoogle Scholar
  13. Gupta, B., Dasgupta, S., & Gupta, A. (2008). Adoption of ICT in a government organization in a developing country: An empirical study. Journal of Strategic Information Systems, 17, 140–154.CrossRefGoogle Scholar
  14. Khan, G. F. (2013). Social media-based systems: an emerging area of information systems research and practice. Scientometrics, 95, 159–180.CrossRefGoogle Scholar
  15. Khan, G. F., & Park, H. W. (2011). Measuring the triple helix on the web: Longitudinal trends in the university–industry–government relationship in Korea. Journal of American Society for Information science and Technology, 62(12), 2443–2455.CrossRefGoogle Scholar
  16. Khan, G. F., & Park, H. W. (2013). International collaboration within electronic government research domain: A triple helix network analysis of collaboration at the regional, country, and institutional levels. Government Information Quarterly, 30(2), 182–193.CrossRefGoogle Scholar
  17. Kleinberg, J. (2003). Bursty and hierarchical structure in streams. Data Mining and Knowledge Discovery, 7(4), 373–397.CrossRefMathSciNetGoogle Scholar
  18. Leydesdorff, L. (2001). Indicators of innovation in a knowledge-based economy. Cybermetrics, 5(1), 1–21.Google Scholar
  19. Leydesdorff, L. (2003). The mutual information of university–industry–government relations: An indicator of the Triple Helix dynamics. Scientometrics, 58(2), 445–467.CrossRefGoogle Scholar
  20. Mane, K., & Borner, K. (2004). Mapping topics and topic bursts in PNAS. In Proceedings of the 2004 National Academy of Sciences of the United States of Americas (PNAS) (101(1), pp. 5287–5290).Google Scholar
  21. Marsden, P. V. (2008). Network Data and Measurement (Vol. 1, Social Network Analysis). London: Sage.Google Scholar
  22. Measuring the Information Society. (2012). International Telecommunication Union. Accessed 13 July 2013.
  23. Park, H. W., Hong, H. D., & Leydesdorff, L. (2005). A comparison of the knowledge-based innovation systems in the economies of South Korea and the Netherlands using Triple Helix indicators. Scientometrics, 65(1), 3–27.CrossRefGoogle Scholar
  24. Park, H. W., & Leydesdorff, L. (2010). Longitudinal trends in networks of university–industry–government relations in South Korea: The role of programmatic incentives. Research Policy, 39(5), 640–649.CrossRefGoogle Scholar
  25. Prasad, K. (2008). The digital divide: Implications of ICTs for development in South Asia. Papers in International and Global Communication, 3(08), 1–14.Google Scholar
  26. Puri, S. K. (2007). Integrating scientific with indigenous knowledge: Constructing knowledge alliances for land management in India. MIS Quarterly, 31(2), 355–379.Google Scholar
  27. Serrat, O. (2009). Social network analysis. Washington, DC: Asian Development Bank.Google Scholar
  28. Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27, 379–423.CrossRefzbMATHMathSciNetGoogle Scholar
  29. Shapiro, M. (2007). The triple helix paradigm in Korea: A test of new capital. International Journal of Technology Management and Sustainable Development, 6, 171–191.CrossRefGoogle Scholar
  30. Smith, M., Milic-Frayling, N., Shneiderman, B., Mendes Rodrigues, E., Leskovec, J., & Dunne, C. (2010). NodeXL: a free and open network overview, discovery and exploration add-in for Excel 2007/2010, from the Social Media Research Foundation, Accessed 13 July 2013.
  31. Walsham, G., & Sahay, S. (2006). Research on information systems in developing countries: Current landscape and future prospects. Information Technology for Development, 12(1), 7–24.CrossRefGoogle Scholar
  32. Wasserman, S., & Faust, K. (1994). Social Network Analysis: Methods and applications. Cambridge: Cambridge university Press.CrossRefGoogle Scholar

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2013

Authors and Affiliations

  1. 1.SolBridge International School of Business Woosong Educational FoundationDaejeonSouth Korea
  2. 2.School of Industrial ManagementKorea University of Technology & Education (KoreaTECH)CheonanSouth Korea

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