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dc.contributor.authorØverby, Harald
dc.date.accessioned2019-04-02T08:27:34Z
dc.date.available2019-04-02T08:27:34Z
dc.date.created2019-02-06T14:22:32Z
dc.date.issued2018
dc.identifier.isbn978-1-4503-6490-4
dc.identifier.urihttp://hdl.handle.net/11250/2592852
dc.description.abstractNetwork 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.nb_NO
dc.language.isoengnb_NO
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofProceedings of the 2nd International Conference on E-commerce, E-Business and E-Government
dc.titleNetwork Effects in Facebooknb_NO
dc.typeChapternb_NO
dc.description.versionsubmittedVersionnb_NO
dc.identifier.cristin1674107
dc.description.localcodeCopyright © 2019 ACM, Inc. This chapter will not be available due to copyright restrictions.nb_NO
cristin.unitcode194,63,30,0
cristin.unitnameInstitutt for informasjonssikkerhet og kommunikasjonsteknologi
cristin.ispublishedtrue
cristin.fulltextpreprint


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