Modeling Social Influence in Social Networks with SOIL, a Python Agent-Based Social Simulator

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 addr...

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Published inAdvances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection Vol. 10349; pp. 337 - 341
Main Authors Merino, Eduardo, Sánchez, Jesús M., García, David, Sánchez-Rada, J. Fernando, Iglesias, Carlos A.
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2017
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Brand reputation
Python
Rumor propagation
Social network
SOIL
Viral marketing
Online AccessGet full text
ISBN3319599291
9783319599298
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-59930-4_33

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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.
AbstractList 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.
Author García, David
Merino, Eduardo
Sánchez-Rada, J. Fernando
Iglesias, Carlos A.
Sánchez, Jesús M.
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Snippet The application of Agent-based Social Simulation (ABSS) for modeling social networks requires specific facilities for modeling, simulation and visualization of...
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StartPage 337
SubjectTerms Brand reputation
Python
Rumor propagation
Social network
SOIL
Viral marketing
Title Modeling Social Influence in Social Networks with SOIL, a Python Agent-Based Social Simulator
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