Quality & Quantity

, Volume 51, Issue 3, pp 1027–1043 | Cite as

Open data in Nepal: a webometric network analysis

  • Srijana Acharya
  • Han Woo ParkEmail author


This study examines the current open data trends in Nepal based on the webometric analysis method by using search engines to trawl through websites and obtain data. The results indicate that various national and international nonprofit organizations, public sector organizations, educational institutions , and a few commercial organizations were the initial actors fostering open data in Nepal. Therefore, these organizations were analyzed in terms of their networking patterns and the extent to which they are exposed internationally in cyberspace by using Webometric Analyst 2.0. Inter-linkage analysis, co-mention analysis, and link impact analyses were conducted to explore the networking behavior in the World Wide Web. The results revealed that international organizations (IOs) were strongly interlinked. Nongovernmental organizations (NGOs), government organizations (GOs), and IOs were interlinked, but weakly. In terms of the co-mention network analysis, IOs with IOs were more significant than NGOs with NGOs, GOs, or business organizations because IOs had been working actively for many years, their web presence was high, and they worked in other fields, including open data. A link impact analysis was also conducted using its indicators of seed sites linked to external websites in terms of the estimated number of top-level domains and country-code top-level domains.


Open data Nepal Asia Developing country Webometrics Network analysis 



The corresponding author thanks Ho-Yoon JEONG for his assistance.


  1. Almind, T.C., Ingwersen, P.: Informetric analyses on the World Wide Web: methodological approaches to ‘webometrics’. J. Doc. 53(4), 404–426 (1997)CrossRefGoogle Scholar
  2. Auer, S. R. Bizer, C. Kobilarov, G. Lehmann, J. Cyganiak, R. Ives, Z.: DBpedia: a nucleus for web of open data. In The Semantic Web. Lecture Notes in Computer Science, vol. 4825, pp. 722–735. SpringerVerlag, Berlin (2007)Google Scholar
  3. Barnett, G.A., Lee, M.S., Jiang, K., Park, H.W.: The flow of international students from a macro perspective: a network analysis. Comp J Comp Inter Edu 46(4), 533–559 (2016)CrossRefGoogle Scholar
  4. Choi, S., Park, H.W.: An exploratory approach to a Twitter-based community centered on a political goal in South Korea: who organized it, what they shared, and how they acted. New Media Soc 16(1), 129–148 (2014)CrossRefGoogle Scholar
  5. Choi, S., Park, H.W.: Networking interest and networked structure: a quantitative analysis of Twitter data. Soc Sci Comp Rev. 33(2), 145–162 (2015)CrossRefGoogle Scholar
  6. Dahal, T.N.: NEPAL: Freedom of information as a tool for empowerment, enabling protection and achievement of other rights. Retrieved from: (2010)
  7. Dahal,T.N.: Towards open government in Nepal source: (2011)
  8. Davies,T., Perini, F., Alonso, J, M.: Emerging impacts of open data, ODDC conceptual framework. Retrieved from (2013)
  9. Gonzalez-Zapata, F., Heeks, R.: The multiple meanings of open government data: understanding different stakeholders and their perspectives. Govern Inform Quart 32(4), 441–452 (2015)CrossRefGoogle Scholar
  10. Hsu, C.L., Park, H.W.: Korean and Chinese Webpage Content: who Are Talking About What and How? J Comp-Media Comm 17(2), 202–215 (2012)CrossRefGoogle Scholar
  11. Jung, K.: Disaster Resilience in Self-Organized Interorganizational Networks: theoretical Perspectives and Assessment. J. Contemp. East. Asia 15(1), 96–108 (2016)CrossRefGoogle Scholar
  12. Jung, K., Park, H.W.: A semantic (TRIZ) network analysis of South Korea’s “Open Public Data” policy. Govern Inform Quart 32(3), 353–358 (2015)CrossRefGoogle Scholar
  13. Kaya, M., Cetin, E., & Sözeri, A. (2010). An introduction to webometrics: quantitative web research for the ranking of world universities; research centers and hospitals. In:Explorations in e-Government and e-Governance (ICEGEG-2010), Antalya, TurkeyGoogle Scholar
  14. Lnenicka, M.: An In-Depth Analysis of Open Data Portals as an Emerging Public E-Service, World Academy of Science, Engineering and Technology. Intern J Soc Educ Econo Manage Eng 9(2), 589–599 (2015)Google Scholar
  15. Meier, H.: Global Civil Society from Hyperlink Perspective: exploring the Website Networks of International NGOs. J. Contemp. East. Asia. 15(1), 62–75 (2016)CrossRefGoogle Scholar
  16. Meza, X.V., Park, H.W.: Globalization of Cultural Products: a Webometric Analysis of Kpop in Spanish-Speaking Countries. Qual. Quant. 49(4), 1345–1360 (2015)CrossRefGoogle Scholar
  17. Park, H.W., Leydesdorff, L.: Decomposing social and semantic networks in emerging “big data” research. J. Informetr. 7(3), 756–765 (2013)CrossRefGoogle Scholar
  18. Park, J.Y., Park, H.W.: Network Analysis of East Asian Research in South Korea for the 2004-2013 Period. Inter J Conten 11(1), 52–61 (2015)CrossRefGoogle Scholar
  19. Park, H.W., Yoon, J.W., Leydesdorff, L.: The Government Stimulation Programs of China and Korea. Scientometrics, The Normalization of Co-authorship Networks in the Bibliometric Evaluation (2016)Google Scholar
  20. Sapkota, K. (2014). Exploring the emerging impacts of open aid data and budget data in Nepal. Retrieved from:
  21. Sapkota, K.: Open Aid and Budget Data in Nepal: Experiences, perspectives and intentionalities. Retrieved from: (2015)
  22. Schwegmann,C.: Open Data in Developing Countries. Retrieved from data-in-Developing-Countries.pdfs (2012)
  23. Soden, R., Budhathoki, N., & Palen, L.: Resilience-Building and the Crisis Informatics Agenda: Lessons Learned from Open Cities Kathmandu. In Proceedings of the 11th International Conference on Information Systems for Crisis Response and Management (ISCRAM).(2014)Google Scholar
  24. Thelwall, M., Sud, P.: A comparison of methods for collecting web citation data for academic organizations. J. Am. Soc. Inform. Sci. Technol. 62(8), 1488–1497 (2011)CrossRefGoogle Scholar
  25. Thelwall, M., Sud, P., Wilkinson, D.: Link and co-inlink network diagrams with URL citations or title mentions. J. Am. Soc. Inform. Sci. Technol. 63(4), 805–816 (2012)CrossRefGoogle Scholar
  26. Thelwall, M., Sud, P.: Webometric research with the Bing Search API 2.0. J. Informetr. 6(1), 44–52 (2012)CrossRefGoogle Scholar
  27. Thelwall. M. (2012). Introduction to Webometric Analyst 2.0: A research tool for social scientists.
  28. Thelwall, M.: Big Data and Social Web Research Methods. University of Wolverhampton. (2014)
  29. Xu, W.W., Park, J.Y., Park, H.W.: The networked cultural diffusion of Korean Wave. Online Inf. Rev. 39(1), 43–60 (2015)CrossRefGoogle Scholar
  30. Xu, W.W., Park, J.Y., Kim, J.Y., Park, H.W.: Networked cultural diffusion and creation on YouTube: an analysis of YouTube memes. J. Broadcasting Electron. Media 60(1), 104–122 (2016a)CrossRefGoogle Scholar
  31. Xu, W.W., Park, J.Y., Park, H.W.: Longitudinal dynamics of the cultural diffusion of Kpop on YouTube. Qual. Quant. (2016b). doi: 10.1007/s11135-016-0371-9 CrossRefGoogle Scholar
  32. Yoon, J.W., Park. H.W.: Triple helix dynamics of South Korea’s innovation system: a network analysis of inter-regional technological collaborations. Qual. Quant. (2016). doi: 10.1007/s11135-016-0346-x

Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  1. 1.Department of Digital Convergence BusinessYeungNam UniversityGyeongsanSouth Korea
  2. 2.Interdisciplinary Programs of East Asian Cultural Studies and Digital Convergence Business, Departmentof Media and Communication, Cyber Emotions Research InstituteYeungNam UniversityGyeongsanSouth Korea

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