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Descripción
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| 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. | |
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Internacional
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Si |
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Nombre congreso
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Practical Applications of Agents and Multi-Agent Systems |
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Tipo de participación
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970 |
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Lugar del congreso
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Oporto, Portugal |
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Revisores
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Si |
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ISBN o ISSN
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978-3-319-59930-4 |
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DOI
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https://doi.org/10.1007/978-3-319-59930-4_33 |
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Fecha inicio congreso
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20/06/2017 |
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Fecha fin congreso
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22/06/2017 |
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Desde la página
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337 |
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Hasta la página
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341 |
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Título de las actas
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Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection |