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Network Formation and the Structure of the Commercial World Wide Web

Author

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  • Zsolt Katona

    (Haas School of Business, University of California at Berkeley, Berkeley, California 94720-1900)

  • Miklos Sarvary

    (INSEAD, 77305 Fontainebleau, France)

Abstract

We model the commercial World Wide Web as a directed graph that emerges as the equilibrium of a game in which utility maximizing websites purchase (advertising) in-links from each other while also setting the price of these links. In equilibrium, higher content sites tend to purchase more advertising links (mirroring the Dorfman-Steiner rule) while selling less advertising links themselves. As such, there seems to be specialization across sites in revenue models: high content sites tend to earn revenue from the sales of content, whereas low content ones earn revenue from the sales of traffic (advertising). In an extension, we also allow sites to establish (reference) out-links to each other and find that there is a general tendency to establish reference links to sites with higher content. Finally, we explore network formation in the presence of search engines and find that the higher the proportion of people using them, the more sites have an incentive to specialize in certain content areas. Our results have interesting practical implications for search-engine optimization, the pricing of online advertising, and the choice of Internet business models. They also shed light on why Google can use the web's link structure to rank sites by content.

Suggested Citation

  • Zsolt Katona & Miklos Sarvary, 2008. "Network Formation and the Structure of the Commercial World Wide Web," Marketing Science, INFORMS, vol. 27(5), pages 764-778, 09-10.
  • Handle: RePEc:inm:ormksc:v:27:y:2008:i:5:p:764-778
    DOI: 10.1287/mksc.1070.0349
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    References listed on IDEAS

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    Cited by:

    1. Lizhen Xu & Jianqing Chen & Andrew Whinston, 2012. "Effects of the Presence of Organic Listing in Search Advertising," Information Systems Research, INFORMS, vol. 23(4), pages 1284-1302, December.
    2. Bing Jing, 2011. "Social Learning and Dynamic Pricing of Durable Goods," Marketing Science, INFORMS, vol. 30(5), pages 851-865, September.
    3. Peitz, Martin & Reisinger, Markus, 2014. "The Economics of Internet Media," Working Papers 14-23, University of Mannheim, Department of Economics.
    4. He, Qiao-Chu, 2017. "Virtual items trade in online social games," International Journal of Production Economics, Elsevier, vol. 187(C), pages 1-14.
    5. Liu, Jin-Hu & Wang, Jun & Shao, Junming & Zhou, Tao, 2016. "Online social activity reflects economic status," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 581-589.
    6. Zsolt Katona & Miklos Sarvary, 2010. "The Race for Sponsored Links: Bidding Patterns for Search Advertising," Marketing Science, INFORMS, vol. 29(2), pages 199-215, 03-04.
    7. Yaniv Dover & Jacob Goldenberg & Daniel Shapira, 2012. "Network Traces on Penetration: Uncovering Degree Distribution from Adoption Data," Marketing Science, INFORMS, vol. 31(4), pages 689-712, July.
    8. Scott K. Shriver & Harikesh S. Nair & Reto Hofstetter, 2013. "Social Ties and User-Generated Content: Evidence from an Online Social Network," Management Science, INFORMS, vol. 59(6), pages 1425-1443, June.
    9. Chrysanthos Dellarocas & Zsolt Katona & William Rand, 2010. "Media, Aggregators and the Link Economy: Strategic Hyperlink Formation in Content Networks," Working Papers 10-13, NET Institute.
    10. Dina Mayzlin & Hema Yoganarasimhan, 2012. "Link to Success: How Blogs Build an Audience by Promoting Rivals," Management Science, INFORMS, vol. 58(9), pages 1651-1668, September.
    11. Kummer, Michael E. & Saam, Marianne & Halatchliyski, Iassen & Giorgidze, George, 2016. "Centrality and content creation in networks - The case of economic topics on German wikipedia," Information Economics and Policy, Elsevier, vol. 36(C), pages 36-52.
    12. Carlos Hernán González-Campo & Vanessa Zamora Mina, 2020. "Comportamiento de los agentes en el comercio electrónico según modelos de localización," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada, vol. 28(1), pages 47-65, June.
    13. Dmitri Kuksov & Ashutosh Prasad & Mohammad Zia, 2017. "In-Store Advertising by Competitors," Marketing Science, INFORMS, vol. 36(3), pages 402-425, May.
    14. Tingting Song & Qian Tang & Jinghua Huang, 2019. "Triadic Closure, Homophily, and Reciprocation: An Empirical Investigation of Social Ties Between Content Providers," Information Systems Research, INFORMS, vol. 30(3), pages 912-926, September.
    15. Shi, Mengze & Yang, Botao & Chiang, Jeongwen, 2018. "Dyad Calling Behavior: Asymmetric Power and Tie Strength Dynamics," Journal of Interactive Marketing, Elsevier, vol. 42(C), pages 63-79.
    16. James Rutt, 2011. "Aggregators and the News Industry: Charging for Access to Content," Working Papers 11-19, NET Institute, revised Sep 2011.
    17. Gal OEstreicher-Singer & Barak Libai, 2011. "Assessing Value in Product Networks," Working Papers 11-29, NET Institute, revised Sep 2011.
    18. Chrysanthos Dellarocas & Zsolt Katona & William Rand, 2013. "Media, Aggregators, and the Link Economy: Strategic Hyperlink Formation in Content Networks," Management Science, INFORMS, vol. 59(10), pages 2360-2379, October.
    19. Calzada, Joan & Tselekounis, Markos, 2018. "Net Neutrality in a hyperlinked Internet economy," International Journal of Industrial Organization, Elsevier, vol. 59(C), pages 190-221.
    20. Tianshu Sun & Sean J. Taylor, 2020. "Displaying things in common to encourage friendship formation: A large randomized field experiment," Quantitative Marketing and Economics (QME), Springer, vol. 18(3), pages 237-271, September.
    21. Saeed Tajdini, 2023. "The effects of internet search intensity for products on companies’ stock returns: a competitive intelligence perspective," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 352-365, September.
    22. Arun Sundararajan & Foster Provost & Gal Oestreicher-Singer & Sinan Aral, 2013. "Research Commentary ---Information in Digital, Economic, and Social Networks," Information Systems Research, INFORMS, vol. 24(4), pages 883-905, December.

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