Spatial Dispersion of Interconnection Clusters in the European Internet

Alessio D'Ignazio and Emanuele Giovannetti

Spatial Economic Analysis, 2007, vol. 2, issue 3, 219-236

Abstract: Abstract This paper studies the effects of geographical distance on the interconnection agreements between providers participating at Internet Exchange Points (IXPs) in Europe. We assess separately two main issues: the extent of existing clustering, as well as the role of proximity in bilateral interconnection decisions. Our results show the dominance of spatial random patterns in the interconnection agreement distributions. On the other hand, we find that proximity positively affects the probability of establishing interconnection for all the IXPs studied but one. Interesting, the latter is the only one showing an initially clustered morphology. This indicates a prevalence of centripetal forces—local spillovers and mutual knowledge—over geographical differentiation for any pre-existing interconnection pattern morphology except the clustered ones.

Keywords: Internet; peering; clustering; agglomeration; networks; IXP; C21; C25; D85; L86; R12; Z13 (search for similar items in EconPapers)
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.taylorandfrancisonline.com/doi/abs/10.1080/17421770701576889 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:specan:v:2:y:2007:i:3:p:219-236

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RSEA20

DOI: 10.1080/17421770701576889

Access Statistics for this article

Spatial Economic Analysis is currently edited by Bernie Fingleton and Danilo Igliori

More articles in Spatial Economic Analysis from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().