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The Geography of Internet Infrastructure: An Evolutionary Simulation Approach Based on Preferential Attachment

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  • Sandra Vinciguerra

    (Urban and Regional Research Centre Utrecht, Utrecht University, Heidelberglaan 2, P.O. Box 80115, Utrecht, 3508 TC, The Netherlands, s.vinciguerra@geo.uu.nl)

  • Koen Frenken

    (Eindhoven Centre for Innovation Studies, Eindhoven University of Technology, P.O. Box 80, Eindhoven, The Netherlands, k.frenken@tue.nl)

  • Marco Valente

    (Marco Valente is in the Department of Economics, University of L'Aquila, p.le del santuario 19, L'Aquila, 67040, Italy, valente.marco@gmail.com)

Abstract

In this paper, the evolution of infrastructure networks is modelled as a preferential attachment process. It is assumed that geographical distance and country borders provide barriers to link formation in infrastructure networks. The model is validated against empirical data on the European Internet infrastructure network covering 209 cities. The average path length and average clustering coefficient of the observed network are successfully simulated. Furthermore, the simulated network shows a significant correlation with the observed European Internet infrastructure network. The paper ends with a discussion on the future uses of preferential attachment models in the light of the literature on world cities and global cities.

Suggested Citation

  • 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.
    • Handle: RePEc:sae:urbstu:v:47:y:2010:i:9:p:1969-1984
    DOI: 10.1177/0042098010372685
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    Cited by:

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    2. Emmanouil Tranos & Peter Nijkamp, 2013. "The Death Of Distance Revisited: Cyber-Place, Physical And Relational Proximities," Journal of Regional Science, Wiley Blackwell, vol. 53(5), pages 855-873, December.
    3. Corinne Autant-Bernard & Cilem Selin Hazir, 2013. "Network Formation and Geography: Modelling Approaches, Underlying Conceptions, Recent and Promising Extensions," Post-Print halshs-00878953, HAL.
    4. Xingjian Liu & Ben Derudder & Yaolin Liu & Frank Witlox & Wei Shen, 2013. "A Stochastic Actor-Based Modelling of the Evolution of an Intercity Corporate Network," Environment and Planning A, , vol. 45(4), pages 947-966, April.
    5. Ben Derudder & Michael Timberlake & Frank Witlox, 2010. "Introduction: Mapping Changes in Urban Systems," Urban Studies, Urban Studies Journal Limited, vol. 47(9), pages 1835-1841, August.
    6. Nikolay A. Sluka & Vladimir S. Tikunov & Olga Yu. Chereshnia, 2019. "The Geographical Size Index for Ranking and Typology of Cities," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 144(2), pages 981-997, July.
    7. Ducha, F.A. & Atman, A.P.F. & Bosco de Magalhães, A.R., 2021. "Information flux in complex networks: Path to stylized facts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    8. Renato A. Orozco Pereira & Ben Derudder, 2010. "Determinants of Dynamics in the World City Network, 2000-2004," Urban Studies, Urban Studies Journal Limited, vol. 47(9), pages 1949-1967, August.
    9. Tom Broekel & Marcel Bednarz, 2018. "Disentangling link formation and dissolution in spatial networks: An Application of a Two-Mode STERGM to a Project-Based R&D Network in the German Biotechnology Industry," Networks and Spatial Economics, Springer, vol. 18(3), pages 677-704, September.
    10. Luqi Li & Ben Derudder & Wei Shen & Xiang Kong, 2022. "Exploring the dynamics of the disaggregated intercity corporate network in the Yangtze River Delta, China: a relational event approach," Journal of Geographical Systems, Springer, vol. 24(1), pages 115-140, January.
    11. Guo, Ying & Cao, Lingyan & Song, Ying & Wang, Yan & Li, Yongkui, 2022. "Understanding the formation of City-HSR network: A case study of Yangtze River Delta, China," Transport Policy, Elsevier, vol. 116(C), pages 315-326.
    12. Emmanouil Tranos & Peter Nijkamp, 2014. "Digital infrastructure and physical proximity," Chapters, in: André Torre & Frédéric Wallet (ed.), Regional Development and Proximity Relations, chapter 8, pages 267-290, Edward Elgar Publishing.
    13. Feng Zhen & Bo Wang & Zongcai Wei, 2015. "The rise of the internet city in China: Production and consumption of internet information," Urban Studies, Urban Studies Journal Limited, vol. 52(13), pages 2313-2329, October.
    14. Ben Derudder & Christof Parnreiter, 2014. "Introduction: The Interlocking Network Model for Studying Urban Networks: Outline, Potential, Critiques, and Ways Forward," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 105(4), pages 373-386, September.
    15. Christian Wichmann Matthiessen & Annette Winkel Schwarz & Søren Find, 2010. "World Cities of Scientific Knowledge: Systems, Networks and Potential Dynamics. An Analysis Based on Bibliometric Indicators," Urban Studies, Urban Studies Journal Limited, vol. 47(9), pages 1879-1897, August.
    16. Liu, Xingjian & Derudder, Ben & García, Cándida Gago, 2013. "Exploring the co-evolution of the geographies of air transport aviation and corporate networks," Journal of Transport Geography, Elsevier, vol. 30(C), pages 26-36.
    17. César Ducruet & Laurent Beauguitte, 2014. "Spatial Science and Network Science: Review and Outcomes of a Complex Relationship," Networks and Spatial Economics, Springer, vol. 14(3), pages 297-316, December.
    18. V. I. Blanutsa & K. A. Cherepanov, 2019. "Regional Information Flows: Existing and New Approaches to Geographical Study," Regional Research of Russia, Springer, vol. 9(1), pages 97-106, January.

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    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications

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