Using Quantum Agent-Based Simulation to Model Social Networks

Autor: M. De Maggio, Francesca Grippa, Angelo Corallo, Cristian Bisconti, Salvatore Totaro
Přispěvatelé: Bisconti, C., Corallo, A., De Maggio, M., Grippa, F., Totaro, S., Bisconti, CRISTIAN GIOVANNI, Corallo, Angelo, DE MAGGIO, Marco, Grippa, Francesca, Totaro, Salvatore
Rok vydání: 2014
Předmět:
Zdroj: Semantic Web Personalization and Context Awareness
DOI: 10.4018/978-1-4666-5125-8.ch040
Popis: This research aims to apply models extracted from the many-body quantum mechanics to describe social dynamics. It is intended to draw macroscopic characteristics of organizational communities starting from the analysis of microscopic interactions with respect to the node model. In this chapter, the authors intend to give an answer to the following question: which models of the quantum physics are suitable to represent the behaviour and the evolution of business processes? The innovative aspects of the project are related to the application of models and methods of the quantum mechanics to social systems. In order to validate the proposed mathematical model, the authors intend to define an open-source platform able to model nodes and interactions within a network, to visualize the macroscopic results through a digital representation of the social networks.
Databáze: OpenAIRE