Friday, 15:15 - 15:40 h, Room: H 3027

 

Marta Villamil
Modelling and simulation of social segmentation with individual and competitive parameters

Coauthors: Luiz Paulo Luna de Oliveira, Bruno Larentis

 

Abstract:
Social influence is the process by which individuals develop real changes in their feelings and their behavior as a result of interaction with other individuals. When individuals relate to each other, considering a heterogeneous population, behavior patterns allow groups formation. Studies of group behaviors inside a population have applications like preparation to marketing campaign for competitive products, tendencies analysis of electors in political campaigns and to simulate all situations where groups with antagonist ideas compete for new members. This work proposes the use of Lotka-Volterra differential equations to model the segmentation of a population into two groups, each one associated with concepts/choices competitors. In this scope, the coefficients of the Lotka-Volterra equations are defined from the average of the parameters of the individuals which are member of each group. Furthermore the model is dynamic. Model coefficients are updated as groups update their number of members. Individual parameters also continue to change due interactions. With this, the system modeling is replaced by a stochastic component, becoming the linear stability analysis innocuous.

 

Talk 1 of the contributed session Fri.3.H 3027
"Decision making" [...]
Cluster 7
"Finance & economics" [...]

 

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