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Online Social Networks (OSNs) considers user as a central axis, its crucial role has allowed it to benefit from communication technologies and to remain connected with communities. The aims of this work is to provide an overview of the use of social networks based on the seasonal changes' analysis linked to the Moroccan community behavior on Facebook. Measuring user's behavior is an important approach to establish a knowledge extraction process based on human uses. The descriptive study based on a monthly representation showed the influence of interactions by the seasons of the year and that users interact with each other according to a distributed information dissemination model according to comments and topics covered in the form of interlinked discussions, posts deal with current social, political and sports issues are the global interests of the targeted community. This work made it possible to model the seasonal component and to deduce the mathematical model coefficients based on trigonometric function using the least squares method.
Idrais et al. (Tue,) studied this question.
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