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The networks of the Internet: an analysis of provider networks in the USA

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  • Gorman, Sean P.
  • Malecki, Edward J.

Abstract

The Internet is comprised of a large number of private and public networks, which function as autonomous systems within the overall network. The network structure of an individual network, which may have grown by acquisition, has an impact on its efficiency. Using graph theory, this paper examines the network structure of ten "backbone" provider networks in the USA. The networks exhibit very different structures, which affect both the competitive positions of the firms as providers of Internet service to their customers and the nature of integration of other networks.

Suggested Citation

  • Gorman, Sean P. & Malecki, Edward J., 2000. "The networks of the Internet: an analysis of provider networks in the USA," Telecommunications Policy, Elsevier, vol. 24(2), pages 113-134, March.
    • Handle: RePEc:eee:telpol:v:24:y:2000:i:2:p:113-134
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    Citations

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    Cited by:

    1. Laurie A. Schintler & Aura Reggiani & Rajendra Kulkarni & Peter Nijkamp, 2003. "Scale-Free Phenomena in Communication Networks: A Cross-Atlantic Comparison," ERSA conference papers ersa03p436, European Regional Science Association.
    2. Narine Badasyan & Subhadip Chakrabarti, 2003. "Private Peering Among Internet Backbone Providers," Industrial Organization 0301002, University Library of Munich, Germany, revised 20 Jan 2003.
    3. Joël Cariolle, 2018. "Telecommunication Submarine-Cable Deployment and the Digital Divide in Sub-Saharan Africa," CESifo Working Paper Series 7415, CESifo.
    4. Ryerson, Megan S. & Kim, Hyun, 2013. "Integrating airline operational practices into passenger airline hub definition," Journal of Transport Geography, Elsevier, vol. 31(C), pages 84-93.
    5. Sandra Vinciguerra & Koen Frenken & Marco Valente, 2010. "The Geography of Internet Infrastructure: An Evolutionary Simulation Approach Based on Preferential Attachment," Urban Studies, Urban Studies Journal Limited, vol. 47(9), pages 1969-1984, August.
    6. Krzysztof Janc, 2015. "Geography of Hyperlinks-Spatial Dimensions of Local Government Websites," European Planning Studies, Taylor & Francis Journals, vol. 23(5), pages 1019-1037, May.
    7. Mack, Elizabeth A. & Maciejewski, Ross, 2015. "A profile of visual analytical toolkits for understanding the spatio-temporal evolution of broadband provision," Telecommunications Policy, Elsevier, vol. 39(3), pages 320-332.
    8. Krancke, Jan, 2000. "Marktordnung und Barrieren im grenzüberschreitenden Handel mit Kommunikationsdienstleistungen: Dienstleistungen der Informationstechnologie," Kiel Working Papers 1008, Kiel Institute for the World Economy (IfW Kiel).
    9. Laurie Schintler & Rajendra Kulkarni & Sean Gorman & Roger Stough, 2007. "Using Raster-Based GIS and Graph Theory to Analyze Complex Networks," Networks and Spatial Economics, Springer, vol. 7(4), pages 301-313, December.
    10. Bruno Moriset, 2003. "The New Economy in the City: Emergence and Location Factors of Internet-based Companies in the Metropolitan Area of Lyon, France," Urban Studies, Urban Studies Journal Limited, vol. 40(11), pages 2165-2186, October.
    11. Jose Sergio Hleap & Christian Blouin, 2014. "Inferring Meaningful Communities from Topology-Constrained Correlation Networks," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-9, November.
    12. Luigi Capoani, 2023. "Review of the gravity model: origins and critical analysis of its theoretical development," SN Business & Economics, Springer, vol. 3(5), pages 1-43, May.
    13. Peter Nijkamp, 2013. "The Universal Law Of Gravitation And The Death Of Distance," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 7(2), pages 1-10, DECEMBER.
    14. Shane Greenstein, 2006. "Innovation and the Evolution of Market Structure for Internet Access in the United States," Discussion Papers 05-018, Stanford Institute for Economic Policy Research.
    15. Gunhak Lee & Ningchuan Xiao, 2009. "Examining the tradeoff between residential broadband service coverage and network connectivity using a bi‐objective facility location model," Papers in Regional Science, Wiley Blackwell, vol. 88(3), pages 547-562, August.

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