8 research outputs found

    A hybrid approach to study communication in emergency plans

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    Recent disasters have shown the need to improve emergency plans and the importance of the communica-Tions while managing the emergency. These communications can be modeled as an information transmis-sion problem in multiplex social networks in which agents interact through multiple interaction channels (layers). Here, we propose a hybrid model combining Agent-Based Modeling (ABM), Discrete Event System Specification (DEVS), Network theory and Monte Carlo Simulation. We explore how the infor-mation spread from agents in an emergency plan taking into account several communication channels. We developed formal and simulation models of information dissemination in such emergency plans. We reuse a model architecture based on ABM, DEVS & Network Theory taking into account the behavior of the nodes in the network and the different transmission mechanisms in the layers. Finally, we execute a scenario to observe the communications using a DEVS network modeling platform powered by VLE

    Formal abstract modeling of dynamic multiplex networks

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    We describe an Abstract Model for Diffusion Processes to simulate diffusion processes in multiplex dynamic networks using formal modeling and simulation (M&S) methodologies (in this case, the DEVS formalism). This approach helps the users to implement diffusion processes over a network by using the network specification and the diffusion rules. The result of combining the network specifications and the diffusion rules is an Abstract Model for Diffusion Processes, which is formally defined in DEVS, and can be converted into a computerized model. Using the proposed Abstract Model for Diffusion Processes, we can study a diffusion process in multiplex networks with a formal simulation algorithm, improving the model’s definition. We present a case study using the CDBoost simulation engine
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