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Complex Network Phenomena in Telecommunication Systems

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Author Info

  • Laura A. Schintler

    () (George Mason University)

  • Sean P. Gorman

    () (George Mason University)

  • Aura Reggiani

    (University of Bologna)

  • Roberto Patuelli

    () (George Mason University)

  • Andy Gillespie

    () (University of Newcastle)

  • Peter Nijkamp

    () (Vrije Universiteit Amsterdam)

Abstract

Many networks such as the Internet have been found to possess scale-free and small-world network properties reflected by so-called power law distributions. Scale-free properties evolve in large complex networks through self-organizing processes and more specifically, preferential attachment. New nodes in a network tend to attach themselves to other vertices that are already well-connected. Because traffic is routed mainly through a few highly connected and concentrated vertices, the diameter of the network is small in comparison to other network structures, and movement through the network is therefore efficient. At the same time, this efficiency feature puts scale-free networks at risk for becoming disconnected or significantly disrupted when super-connected nodes are removed either unintentionally or through a targeted attack or external force. The present paper will examine and compare properties of telecommunications networks for both the United States and Europe. Both types of networks will be examined in terms of their network topology and specifically whether or not they are scale-free networks to be further explored by identifying and plotting power law distributions. Next, economic, political and cultural factors may be used to explain differences in network structures between the United States and Europe. In addition, the paper will identify data and modeling tools that are needed to facilitate further cross-Atlantic comparative studies of communications networks.

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Bibliographic Info

Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 04-118/3.

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Date of creation: 04 Nov 2004
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Handle: RePEc:dgr:uvatin:20040118

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Related research

Keywords: complex networks; telecommunications; power law distributions; exponential distributions; Europe and US;

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References

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  1. Jess Gaspar & Edward L. Glaeser, 1996. "Information Technology and the Future of Cities," Harvard Institute of Economic Research Working Papers 1756, Harvard - Institute of Economic Research.
  2. Wojahn, Oliver W., 2001. "Airline network structure and the gravity model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(4), pages 267-279, August.
  3. Tae Hoon Oum & Anming Zhang & Yimin Zhang, 1995. "Airline Network Rivalry," Canadian Journal of Economics, Canadian Economics Association, vol. 28(4a), pages 836-57, November.
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Cited by:
  1. Sheu Chen, 2010. "A Heuristic Algorithm for Hierarchical Hub-and-spoke Network of Time-definite Common Carrier Operation Planning Problem," Networks and Spatial Economics, Springer, vol. 10(4), pages 509-523, December.
  2. Emmanouil Tranos & Peter Nijkamp, 2012. "The Death of Distance Revisited: Cyberplace, Physical and Relational Proximities," Tinbergen Institute Discussion Papers 12-066/3, Tinbergen Institute.

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