Agent social circle network based modeling simulation method for universal multi-language competition model

Abstract

The invention relates to an agent social circle network based modeling simulation method for a universal multi-language competition model, belonging to the field of computer simulation. According to the method, the number of agents in the social circle is set, and a population proportion of a single language, status of three groups of languages, small, medium and large social radiuses, individual migration proportion, birth rate and death rate are set; agents establish a social network by use of a social circle principle according to respectivesocial radius; in the established network, individuals perform language communication through learning and forgetting, and children inherit the language from parents; the dynamism of the social network is depicted according to introduced individual migration proportion, birth rate and death rate; and modeling and simulation are performed on language competition spread by use of the established social circle network. According to the method, characteristics of the dynamic language spread network can be represented correctly, social network based quantitative explanation of multi-language evolution can be offered, and the model frame provides a feasible new method for further research of multi-language competition.

Description

technical field [0001] The invention relates to a modeling simulation method of a general multilingual competitive model based on an agent social circle network, belonging to the field of computer simulation. Background technique [0002] In China, the diversity of minority languages ​​is being severely tested. The reasons for language endangerment are complex and diverse, mainly including geographical environment, population distribution and diffusion, language policy, language status and language attitude, language environment and language internal structure and their interactions, and these factors change with time and space, presenting different patterns. qualitative. In order to save endangered languages, it is necessary to study the mechanism and dynamics of language transmission, competition and regulation in order to reveal the reasons for language decline, extinction and coexistence, and then seek protection and intervention measures for endangered languages. [0...

AI Technical Summary

Problems solved by technology

However, there are still the following problems: (1) The existing complex network language communication models mainly focus on the topological features of the network, such as small-world features, scale-free features, high-clustering features, and network community structures. However, little attention has been paid to the change of network structure over time, and the research is basically based on static network

(2) The existing research on complex agent network modeling methods is limited to the case of bilingual competition

Images