Resumen
We propose an agent-based simulation system that allows to design and test social models and also to persist the state of the social network during the execution. Using graph-based community identification and tracking algorithms, the network evolution can be analysed to characterize and compare model implementations. This system has been tested using the Christakis-Fowler model. A description of the system is given, as well as experimental results obtained from this model.
Publicación
Recent Developments in Computational Collective Intelligence
Antonio Gonzalez-Pardo
Profesor Titular de Universidad
Profesor del Departamento de Informática. Sus principales intereses de investigación están relacionados con la inteligencia computacional y la metaheurística aplicada al análisis de redes sociales, y la optimización de problemas basados en grafos.