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Spatial Dispersion of Peering Clusters in the European Internet

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  • D'Ignazio, A.
  • Giovannetti, E.

Abstract

We study the role played by geographical distance in the peering decisions between Internet Service Providers. Firstly, we assess whether or not the Internet industry shows clustering in peering; we then concentrate on the dynamics of the agglomeration process by studying the effects of bilateral distance in changing the morphology of existing peering patterns. Our results show a dominance of random spatial patterns in peering agreements. The sign of the effect of distance on the peering decision, driving the agglomeration/dispersion process, depends, however, on the initial level of clustering. We show that clustered patterns will disperse in the long run.

Suggested Citation

  • D'Ignazio, A. & Giovannetti, E., 2006. "Spatial Dispersion of Peering Clusters in the European Internet," Cambridge Working Papers in Economics 0601, Faculty of Economics, University of Cambridge.
    • Handle: RePEc:cam:camdae:0601
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    References listed on IDEAS

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    1. Fujita,Masahisa & Thisse,Jacques-François, 2013. "Economics of Agglomeration," Cambridge Books, Cambridge University Press, number 9780521171960, October.
    2. Spagnolo, Giancarlo, 1999. "Social relations and cooperation in organizations," Journal of Economic Behavior & Organization, Elsevier, vol. 38(1), pages 1-25, January.
    3. Dominic Power & Mats Lundmark, 2004. "Working through Knowledge Pools: Labour Market Dynamics, the Transference of Knowledge and Ideas, and Industrial Clusters," Urban Studies, Urban Studies Journal Limited, vol. 41(5-6), pages 1025-1044, May.
    4. Glaeser, Edward L & Hedi D. Kallal & Jose A. Scheinkman & Andrei Shleifer, 1992. "Growth in Cities," Journal of Political Economy, University of Chicago Press, vol. 100(6), pages 1126-1152, December.
      • Edward L. Glaeser & Hedi D. Kallal & Jose A. Scheinkman & Andrei Shleifer, 1991. "Growth in Cities," NBER Working Papers 3787, National Bureau of Economic Research, Inc.
      • Glaeser, Edward Ludwig & Kallal, Hedi D. & Scheinkman, Jose A. & Shleifer, Andrei, 1992. "Growth in Cities," Scholarly Articles 3451309, Harvard University Department of Economics.
    5. D'Ignazio, A. & Giovannetti, E., 2004. "From Exogenous to Endogenous Networks: Internet Applications," Cambridge Working Papers in Economics 0445, Faculty of Economics, University of Cambridge.
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    Cited by:

    1. D’Ignazio, Alessio & Giovannetti, Emanuele, 2014. "Continental differences in the clusters of integration: Empirical evidence from the digital commodities global supply chain networks," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 486-497.

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    More about this item

    Keywords

    Internet; Peering; clustering; agglomeration; Networks; IXP;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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