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Network effects in Facebook

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Published:13 June 2018Publication History

ABSTRACT

Network effects are one of the defining properties of the digital economy. It has been shown, both in theory and practice, that network effects contribute to the growth and potential success of businesses in the digital economy. In this paper, we present a quantitative case study of network effects in Facebook for the period 2011 to 2017. We estimate the value of Facebook, and analyse how this value depends on the number of Facebook users. Our results show that there are strong network effects in Facebook, as the value per user increases more than estimations obtained from Metcalfe's law. We also outline a general theory of the strength of network effects, and quantitatively estimate the strength of network effects in Facebook.

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    • Published in

      cover image ACM Other conferences
      ICEEG '18: Proceedings of the 2nd International Conference on E-commerce, E-Business and E-Government
      June 2018
      106 pages
      ISBN:9781450364904
      DOI:10.1145/3234781

      Copyright © 2018 ACM

      Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 13 June 2018

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