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Social Interactions, Network Fluidity and Network Effects

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Abstract

This paper asks how much the strength of network effects depends on the stability and structure of the underlying social network. I answer this using extensive micro-data on all potential adopters of a firm's internal video-messaging system and their subsequent video-messaging. This firm's New York office had to be relocated due to the terrorist attacks of 2001 which lead to a physical re-organization of teams in that city but not in other comparable cities. I study the consequences of this disruption for adoption of video-messaging and the size of network effects. I find evidence that generally network effects are based on direct social interactions. Potential adopters react to adoption only by people they wish to communicate with: They are not affected by adoption by other people. However, when there is a disruption to the social network and communication patterns become less predictable, users become more responsive to adoption by a broader group of users.

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  • Catherine Tucker, 2008. "Social Interactions, Network Fluidity and Network Effects," Working Papers 08-30, NET Institute.
  • Handle: RePEc:net:wpaper:0830
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    References listed on IDEAS

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    8. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
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    11. Eduardo S. Schwartz & Carlos Zozaya-Gorostiza, 2003. "Investment Under Uncertainty in Information Technology: Acquisition and Development Projects," Management Science, INFORMS, vol. 49(1), pages 57-70, January.
    12. Catherine Tucker, 2008. "Identifying Formal and Informal Influence in Technology Adoption with Network Externalities," Management Science, INFORMS, vol. 54(12), pages 2024-2038, December.
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    Cited by:

    1. Elsner, Wolfram & Schwardt, Henning, 2012. "Trust and Arena Size. Expectations, Trust, and Institutions Co-Evolving, and Their Critical Population and Group Sizes," MPRA Paper 40393, University Library of Munich, Germany.
    2. Elsner, Wolfram & Heinrich, Torsten, 2009. "A simple theory of 'meso'. On the co-evolution of institutions and platform size--With an application to varieties of capitalism and 'medium-sized' countries," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(5), pages 843-858, October.
    3. Wolfram Elsner, 2010. "The process and a simple logic of ‘meso’. Emergence and the co-evolution of institutions and group size," Journal of Evolutionary Economics, Springer, vol. 20(3), pages 445-477, June.

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    More about this item

    Keywords

    Network Effects; Local Networks; Stability; Option-Value;
    All these keywords.

    JEL classification:

    • K21 - Law and Economics - - Regulation and Business Law - - - Antitrust Law
    • Q31 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Demand and Supply; Prices
    • Q34 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Natural Resources and Domestic and International Conflicts
    • L42 - Industrial Organization - - Antitrust Issues and Policies - - - Vertical Restraints; Resale Price Maintenance; Quantity Discounts
    • L40 - Industrial Organization - - Antitrust Issues and Policies - - - General
    • L12 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Monopoly; Monopolization Strategies

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