Memorias de investigación
Communications at congresses:
Soil: An Agent-Based Social Simulator in Python for Modelling and Simulation of Social Networks
Year:2017

Research Areas
  • Engineering

Information
Abstract
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
International
Si
Congress
Practical Applications of Agents and Multi-Agent Systems
960
Place
Oporto, Portugal
Reviewers
Si
ISBN/ISSN
978-3-319-59930-4
https://doi.org/10.1007/978-3-319-59930-4_19
Start Date
20/06/2017
End Date
22/06/2017
From page
234
To page
245
Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
  • Departamento: Ingeniería de Sistemas Telemáticos