Memorias de investigación
Ponencias en congresos:
Soil: An Agent-Based Social Simulator in Python for Modelling and Simulation of Social Networks
Año:2017

Áreas de investigación
  • Ingenierías

Datos
Descripción
Social networks have a great impact in our lives. While they started to improve and aid communication, nowadays they are used both in professional and personal spheres, and their popularity has made them attractive for developing a number of business models. Agent-based Social Simulation (ABSS) is one of the techniques that has been used for analysing and simulating social networks with the aim of understanding and even forecasting their dynamics. Nevertheless, most available ABSS platforms do not provide specific facilities for modelling, simulating and visualising social networks. This article aims at bridging this gap by introducing an ABSS platform specifically designed for modelling social networks. The main contributions of this paper are: (1) a review and characterisation of existing ABSS platforms; (2) the design of an ABSS platform for social network modelling and simulation; and (3) the development of a number of behaviour models for evaluating the platform for information, rumours and emotion propagation. Finally, the article is complemented by a free and open source simulator
Internacional
Si
Nombre congreso
Practical Applications of Agents and Multi-Agent Systems
Tipo de participación
960
Lugar del congreso
Oporto, Portugal
Revisores
Si
ISBN o ISSN
978-3-319-59930-4
DOI
https://doi.org/10.1007/978-3-319-59930-4_19
Fecha inicio congreso
20/06/2017
Fecha fin congreso
22/06/2017
Desde la página
234
Hasta la página
245
Título de las actas
Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection

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Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
  • Departamento: Ingeniería de Sistemas Telemáticos