Modelling Facebook users' activity to information diffusion in the social network

Christine Balagué () and Florian Paillasson ()
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Christine Balagué: IMT-BS - MMS - Département Management, Marketing et Stratégie - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]
Florian Paillasson: IMT-BS - MMS - Département Management, Marketing et Stratégie - TEM - Télécom Ecole de Management - IMT - Institut Mines-Télécom [Paris] - IMT-BS - Institut Mines-Télécom Business School - IMT - Institut Mines-Télécom [Paris]

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Abstract: This paper aims to better understand information diffusion in social networks. When a Facebook user updatea content on his wall, his Facebook friends can comment it, click on "like" or share it on their wall, allowing to measure user contribution to content diffusion. Using a database collected with a specific Facebook application, we model Facebook users' activity (posts, likes, comments, activity on friends'wall) by friendship network structure, profile and friends' activities.

Keywords: Networks; Virality (search for similar items in EconPapers)
Date: 2013-06-04
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Published in EMAC 2013 : 42nd Annual Conference of European Marketing Academy, Jun 2013, Istanbul, Turkey

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01271708

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