2017
DOI: 10.1016/j.chaos.2017.05.016
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Dynamics of an agent-based opinion model with complete social connectivity network

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Cited by 9 publications
(4 citation statements)
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“…An advantage of this model is its ability to simplify a complex phenomenon using the simple rules so that its behavior can be predicted well. It is also possible to predict its emergent property of the corresponding complex system as a whole by applying this model (Alatas et al., 2017).…”
Section: Introductionmentioning
confidence: 99%
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“…An advantage of this model is its ability to simplify a complex phenomenon using the simple rules so that its behavior can be predicted well. It is also possible to predict its emergent property of the corresponding complex system as a whole by applying this model (Alatas et al., 2017).…”
Section: Introductionmentioning
confidence: 99%
“…There has been renewed interest in the application of an agent‐based model as it successfully simulates various complex behaviors such as economy (Farmer & Foley, 2009), energy (Rai & Henry, 2016), social (Alatas et al., 2017; Helbing, 2013), and traffic (Sugihakim & Alatas, 2016). An agent‐based model is defined as a computational model to simulate and describe a complex phenomenon numerically using autonomous agents.…”
Section: Introductionmentioning
confidence: 99%
“…On one side, there are classical binary state models [ 7 ] that are often subject to exact analytical treatment, although their assumptions and formulation can be seen as oversimplified, especially from the social science point of view. On the other hand, it is also possible to move towards a very general approach of agent-based models [ 8 , 9 , 10 , 11 ], equipping individuals with large vectors of attributes, applying detailed, very complex rules and, last but not least, taking into account multidimensional structure of interactions.…”
Section: Introductionmentioning
confidence: 99%
“…Basing on this criteria we can deal with continuous (plane-like) [5,12,33,34] or discrete geometry. The later may be divided into additional subgroups, with regular lattices [21-23, 25, 35] or complex networks [8,19,[36][37][38][39][40][41].…”
Section: Introductionmentioning
confidence: 99%