The impact of information on individuals within a social network is, mostly, statically modeled and the dynamic is not frequently tackled. In addition, the work of modeling and simulation of the population's reactions to the information do not use explicit specification languages to describe their models. These models are specified in the shape of graph or math formulas and then directly implemented and coded using classical programming languages. We propose to model the actions of influence in a multidimensional social network (MSN). Each graph layer corresponds to a predetermined social network based on one relationship. In this work, the use of the DEVS formalism has permitted to explicit M&S of human behavior and the interaction between individuals as a network. In more detail, we define a set of models of individuals characterized by a set of state variables (e.g., using Maslow's theory [15] to construct the behavior of an individual) and the mesh between the individuals within a social network. Then, we introduce the platform architecture, sharing resources, specifically designed to simulate MSN. In the end, a scenario is used to validate our models using the platform based on DEVS Specification.
['Youssef Bouanan', 'Mathilde Forestier', 'Judicael Ribault', 'Gregory Zacharewicz', 'Bruno Vallespir', 'Néjib Moalla']
Simulating information diffusion in a multidimensional social network using the DEVS formalism (WIP)