A Biologically Inspired Model for Analyzing Behaviours in Social Network Community and Cultural Heritage Scenario

In this paper, a biologically inspired mathematical model to simulate social network behaviours is presented. We propose a computational network of Integrate & Fire (IF) neurons to model the dynamics of spectators in a community that shares interests on cultural heritage assets. In our approach, users are assimilated to neurons, while the friendships and the common interests are the synapses (i.e., Connections) among them. These connections may be more or less strong in dependence of how interests to a particular feature are shared. The main novelty consists in describing the propagation of the information on the network by simulating various applicative scenarios. Preliminary experimental results, based on a phantom database and on real world data, are shown.