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In this paper, starting from a real case of an art exhibit, we propose a mathematical model to simulate social network interactions of a visitor that shares his experience on a social network. The Integrate & Fire (I&F) model is used to reproduce the interest of spectators in a cultural heritage community. In our approach, visitor is modelled as a computational neuron, which is connected with his "friends" by means of synapses (i.e., connections), representing friendships and/or common interests among them. The real data are of the exhibit are stored on a cloud system framework and representing the input of the proposed model.
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Cuomo et al. (2015) studied this question.
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