Recently one of the well-known researchers in the field has proposed an interesting opinion dynamics model, which aims to explain polarization and group formation in human societies [1]. His model is based on two antipodal concepts in human interactions: trust and suspicion.

In this post we discuss how the model is extended to three agent case (which will eventually lead us to many agent case) and its relationship with well-known Hegselmann-Krause model, which we have discussed in an earlier post.

You might not be aware of it, but we are all likely of noble blood. Details on why this is true and to what extent, in the following Numberphile's video featuring dr. James Grime.

Another related question would be on family name extinction, which covered in sister video on Numberphile channel.

Recently one of the well-known researchers in the field has proposed an interesting opinion dynamics model, which aims to explain polarization and group formation in human societies [1]. His model is based on two antipodal concepts in human interactions: trust and suspicion.

In this post we will introduce the trust and suspicion model for the case with two agents.

We have already written about Sierpinski Triangle, but at that time we haven't even considered that constructing this fractal is possible within PowerPoint. While not entirely practical, it is almost certainly amusing!

Let us briefly come back to the Deffuant's model and discuss the impact of noise on the dynamics of the model. There multiple ways to introduce the noise into the model, so here we will focus on the way proposed in [1].