Social simulation implies two preconditions: determining a population and simulate the information diffusion within it. A population represents a group of interconnected individuals sharing information. In this paper, the population we generate is detailed by socio-cultural features, specifically the way that people tend to link together. To this end, the use of a social network is a little bit restrictive: people are linked by only one relationship. Multidimensional Social Networks (MSN) model 3D social networks where each dimension represent a kind of relationship [1]. This architecture allows us to better represent the diversity of humans relations but also define distinctive rules for the message diffusion simulation. The inner idea is that information disseminates differently according to the links through which the information propagates. So, we present in this paper the modeling of our MSN based on social science and a simulation using propagation rules set for each dimension.
Here is presented a model of message processing using one of the leading paradigms in social psychology of persuasion as main theoretical framework: the Elaboration Likelihood Model (ELM). Adapting this dual process theory to military context and actions and more specifically psychological operations in asymmetric conflicts allows developing a model taking into account many message characteristics as well as specific factors such as local culture of the audience. It focuses on measuring capacity and motivation of the agents to determine the effect of message sending on attitudes through a detailed cognitive treatment.
Here is presented a model of message processing using one of the leading paradigms in social psychology of persuasion as main theoretical framework: the Elaboration Likelihood Model (ELM). Adapting this dual process theory to military context and actions and more specifically psychological operations in asymmetric conflicts allows developing a model taking into account many message characteristics as well as specific factors such as local culture of the audience. It focuses on measuring capacity and motivation of the agents to determine the effect of message sending on attitudes through a detailed cognitive treatment.
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