Research On The Diffusion Of Multidimensional Opinions On Dynamic Networks

The subject of "Opinion dynamics" has appeared since the 1990s to study the opinion dissemination in human society. In the last decades, people have developed lots of models to investigate the opinion formation dynamics, and the achievements are noticeable. However, there still are some deficiencies in this field. Especially, the studies on opinion dynamics on evolutionary networks are not sufficient.So, a multidimensionality opinion dynamics model on the evolutionary network, namely, coevolution of opinions and networks model, has been presented in this thesis to consider the dynamic mechanism of coevolution of multidimensionality opinions and networks. On one hand, the opinions are represented by a vector of bits. This opinion representation fits the situations where people's opinions are multidimensional. On the other hand, two communication mechanisms for this model are designed. One is global communication mechanism in which the information of each individual's opinion is assumed to be globally accessible. The other one is the local communication mechanism, and in this case, the model is a local coevolution of opinions and networks model. We will examine the spread of opinions, networks evolution and the mutual influences between them in different communication mechanisms.One main finding of the simulations is that the global communication model can promote the group opinions to converge, and the network forms a large community. But in the local communication model, network consists of a bunch of isolate small communities, and the opinions are fragmented. Our work to certain extent reveals the internal mechanisms of some social phenomena, such as the collective decision-making, fashion and so on. We find if individuals change their opinions or attitudes according to different mechanisms then the group phenomena are different.