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

Author

Listed:
  • 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])

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.

Suggested Citation

  • Christine Balagué & Florian Paillasson, 2013. "Modelling Facebook users' activity to information diffusion in the social network," Post-Print hal-01271708, HAL.
    • Handle: RePEc:hal:journl:hal-01271708
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    Keywords

    Networks; Virality;

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