Research And Experimental Analysis Of Agent-Based Group Polarization Model In Social Networks

Group polarization refers to the fact that in a specific situation,individuals imitate the choices of others and do not use their own information processing,which leads to a consistent behavior of the group's viewpoints on the topic,this consistency may be manifested as mono-polarization or multi-level differentiation.In the real world,group polarization can allow groups to contribute their own ideological essence to the formation of collective wisdom,and it can also make individuals lose self-judgment in the group,resulting in a consistent irrational tendency.Therefore,the research on group polarization has important guiding application value.For the research of group polarization,the traditional modeling method needs to establish some complex and classical mathematical formulas.With the complication and continuous emergence of human behavior,many practical problems are difficult to describe with mathematical symbols.Due to the continuous development of computer science and technology,the method of exploring the inherent laws of human behavior through the use of agent-based experimental methods has attracted attention.By simulating individual behaviors and interactions,macroscopic results are obtained from the microscopic mechanism,and it is possible to reveal the internal mechanism and influence mechanism of the formation of group polarization.The thesis starts from the analysis of application scenarios and refines the technical requirements of the process of group polarization: the construction of social network structure model,the analysis of influencing factors of population polarization,and the construction of group polarization decision model.In the construction of a network model,the thesis analyzes the types and attributes of nodes in social networks.At the same time,it studies the relationship types and influencing factors of social networks.Finally,a Lianyi model is proposed.The thesis divides the influencing factors of population polarization into three parts: the individual heterogeneity,the influence of the external environment,and the influence of the network structure on the polarization of the population.The three parts cover the internal and external factors of the population polarization.The construction of the decision model starts from the individual,and each individual's decision-making then influences each other to form a group decision.Finally,the experimental model of the Lianyi network model proposed in this thesis was analyzed by Netlogo experimental platform and the influence factors of the population polarization were analyzed.The experimentalresults show that the network model proposed in this thesis can better reflect the topological properties of the real network,in accordance with the real network,In the process of group polarization,the individual heterogeneity,field intensity,external media coverage strength and network structure all have important influence on the process of group polarization.