Posting behavior in Social Networks and Content Active Filtering

Alexandre Reiffers-Masson 1 Eitan Altman 1 Yezekael Hayel 2
1 MAESTRO - Models for the performance analysis and the control of networks
CRISAM - Inria Sophia Antipolis - Méditerranée
2 LIA - Laboratoire Informatique d'Avignon
Abstract : —In this paper, we have two objectives: First we model the posting behavior in Social Networks in topics which have negative externalities, and the second objective is to propose content active filtering in order to increase content diversity. By negative externalities, we mean that when the quantity of posted contents about some topic increases the popularity of posted contents decreases. We introduce a dynamical model to describe the posting behavior of users taking into account these externalities. Our model is based on stochastic approximations and sufficient conditions are provided to ensure its convergence to a unique rest point. We provide a close form of this rest point. Content Active Filtering (CAF) are actions taken by the administrator of the Social Network in order to promote some objectives related to the quantity of contents posted in various topics. As objective of the CAF we shall consider maximizing the diversity of posted contents.
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Alexandre Reiffers-Masson, Eitan Altman, Yezekael Hayel. Posting behavior in Social Networks and Content Active Filtering. 1st International Workshop on Dynamics in Networks (DyNo2015), in conjunction with IEEE/ACM ASONAM 2015, Aug 2015, Paris, France. pp.1555-1562, ⟨10.1145/2808797.2808912⟩. ⟨hal-01171874⟩

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