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Examining the international internet using multiple measures: new methods for measuring the communication base of globalized cyberspace

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  • George Barnett
  • Han Park

Abstract

This article examines the network structure of the international internet using four different sources of data: (1) bilateral bandwidth between countries; (2) hyperlink connections among nations’ domain names; (3) structural equivalence of nations from the perspective of websites, measured by the percentage of specific websites’ traffic from individual countries; and (4) structural equivalence of nations from the national perspective, using the proportion of a country’s 100 most-visited websites shared with other countries. Results indicate that the international internet network appears to consist of series of small worlds determined by language, geography, and historical circumstances. Therefore, one cannot depict the internet only through an examination of the hyperlink connections among nations. There is a need for multiple indicators to accurately describe the global internet. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • George Barnett & Han Park, 2014. "Examining the international internet using multiple measures: new methods for measuring the communication base of globalized cyberspace," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 563-575, January.
    • Handle: RePEc:spr:qualqt:v:48:y:2014:i:1:p:563-575
    DOI: 10.1007/s11135-012-9787-z
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    References listed on IDEAS

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    1. Han Park, 2012. "How do social scientists use link data from search engines to understand Internet-based political and electoral communication?," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(2), pages 679-693, February.
    2. Maria D’Esposito & Susanna Zaccarin, 2011. "Editorial: Applied and methodological issues in the analysis of network data," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(5), pages 985-987, August.
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    Cited by:

    1. Milad Shahvaroughi Farahani, 2024. "Applications of Artificial Intelligence in Social Science Issues: a Case Study on Predicting Population Change," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 3266-3296, March.
    2. Barnett, George A. & Ruiz, Jeanette B. & Xu, Weiai Wayne & Park, Ji-Young & Park, Han Woo, 2017. "The world is not flat: Evaluating the inequality in global information gatekeeping through website co-mentions," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 38-45.
    3. Wolf J. Schünemann, 2020. "Ready for the World? Measuring the (Trans-)National Quality of Political Issue Publics on Twitter," Media and Communication, Cogitatio Press, vol. 8(4), pages 40-52.
    4. José-Antonio Ontalba-Ruipérez & Enrique Orduna-Malea & Adolfo Alonso-Arroyo, 2016. "Identifying institutional relationships in a geographically distributed public health system using interlinking and co-authorship methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1167-1191, March.

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