Cell_DEVS: An Approach to Model the Influence of Social Interactions in Human Behavior

Abstract

Human behavior can be influenced by social interactions. The study of how human behavior change has applications in different fields such as marketing, military, psychology, robotics, human-machine interface, anthropology, computational sciences, economics or epidemiology. Applying Modeling and Simulation to study human behavior is encouraged to avoid the long waiting times that takes natural observations of desired events. In our study, we provide a model for human social interaction and influence during a product launch using the Cell-DEVS formalism, the CD++ simulator, Agent-Based Modeling and Bounded Confidence Models. We studied how the size of the market, attributes of an individual and number of people that a human interacts with can affect human behavior.

Modelling Individual Behaviour Towards Influencers on Social Media Using Cell-DEVS

“…An example of such an approach is the research done by Behl et al [2] who previously presented research on the application of Cell-DEVS on human behaviour based on social interactions. In the model each agent is represented by a 2D cell with a set of static and dynamic parameters.…”

“…The equations are inspired by those presented by Alves et al [23], although not similar, they were created to illustrate the behaviour addressed by the voter specific behaviour. The equations combine the methodology used by Behl et al [2] to determine the effect the differing neighbour's opinion would have on an individual.…”

“…the major city model (MCM),(2) the transfer model (TM). The overall model employs DEVS formalism to simulate interactions between the two submodules, while also employing the SIRD (susceptible, infected, recovered, and dead) framework to simulate rate of infections between individuals.…”