Memorias de investigación
Communications at congresses:
Modeling Social Influence in Social Networks with SOIL, a Python Agent-Based Social Simulator
Year:2017

Research Areas
  • Engineering

Information
Abstract
The application of Agent-based Social Simulation (ABSS) for modeling social networks requires specific facilities for modeling, simulation and visualization of network structures. Moreover, ABSS can benefit from interactive shell facilities that can assist the model development process. We have addressed these problems through the development of a tool called SOIL, which provides a Python ABSS specifically designed for social networks. In this paper we present how this tool is applied to simulate viral marketing processes in a social network, and to evaluate the model with real data.
International
Si
Congress
Practical Applications of Agents and Multi-Agent Systems
970
Place
Oporto, Portugal
Reviewers
Si
ISBN/ISSN
978-3-319-59930-4
https://doi.org/10.1007/978-3-319-59930-4_33
Start Date
20/06/2017
End Date
22/06/2017
From page
337
To page
341
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