Complexity With Cellular Automata As A Mass Media

Public opinion is a typical complexity system, which is constituted by manual interactionamong abundance of social individual'opinion, and which are subject to Nature, Society,Economy, Culture, Politics and Law etc. The system's evolution features high complexity, openboundary, uncertainty, nonequilibrium,selforganizationetc. This kind of social complexitysystem has suspended a huge challenge at the front of statistical physics. In order to study anddescribes such a system, the people already proposed many network models, which have carriedon the simulation from the different angels to the public opinion. In this thesis, I shall spread thepublic opinion based on weighed networks, which can better embody the features of people'scommunication networks.Based on the basic Sznajd model, some preliminary works have been done, which aimed tothe characters of the onedimensionSznajd model: Firstly, this paper makes a brief introductionof these characters and establishment of various complicated networks, and chooses the networkmodel weightednetwork which spreads the public opinions, and from the theories analysisscalefreenetworks and weighted network by meanfieldmethod. Secondly, the spread ofopinion is such an evolving process which based on people's communication networks, so thestudy of public opinions on networks plays an aggressive role on finding out the evolvingregulation. Because the interpersonal relationship is not equal and it exists close or distancefriends, people's communication networks should be a weighted network. The weight ofweighted network can be regarded as the intimate or distance degree among interpersonalrelationship, and the greater the weight, the more intimate the relation. If the value of weight iszero, there are no relations among people. This paper makes a research on the properties ofpublic opinions under the influence of some factors, such as the parameters of the weight ofnetwork, different evolution rules, different evolution ways. Thirdly, this paper applies Sznajdmodel to the weighted network, whose nodes mean one person, and the weight of the linkbetween one node and another node means the intimate or distance degree among interpersonalrelationship. With the asynchronous renewing way, this paper makes a research on the change ofthe magnetization and decidingtimeon weighted network, and the effects of the weight. Finally, previous the Sznajd model of twodimensionsquare lattice only consider one facet of personfixed,but in fact each person impossibly fix at a certain place, he constantly changes his position.In terms of this, the paper simulates the features of public opinions when each person moves.At the end of my thesis, I make a conclusion to the full text work, and take a concise viewof the research development of Public opinion.