A modeling and simulation method for language competition model of complex agent network with lexical structure

Abstract

The invention relates to a modeling simulation method of a language competition model of a complex agent network with a vocabulary structure, belonging to the field of computer simulation. The present invention first establishes a dynamic language communication network according to the social circle theory; on this basis, inserts two kinds of monolingual populations, and sets the language status for the two languages; sets the individual integer number string and its internal vocabulary structure and distributes Floating population ratio; set birth ratio, death ratio and language genetic ratio for individuals; simulate vocabulary learning and forgetting among individuals according to the language communication model; finally adjust the social language status, social radius, bilingual genetic probability and language learning in the model The rate parameter is used to observe the situation of individual language mastery. The invention can flexibly describe the mechanism of large-scale social network coupling evolution; it reflects the macroscopic competition situation between different language types shown by different language speakers realizing the emergence of language internal microstructure evolution through communication and competition.

Description

technical field [0001] The invention relates to a modeling simulation method of a language competition model of a complex agent network with a vocabulary structure, belonging to the field of computer simulation. Background technique [0002] Traditional models of language competition dynamics based on differential equations limit the explanatory value of the models due to their overly ideal assumptions. At present, the complex agent network model comprehensively considers the social structure of language, population density, language status and the influence of bilingual factors on language coexistence, and has made important progress in the study of language competition dynamics, but there are still the following problems: (1) network It mainly focuses on static networks and does not consider the dynamic characteristics of social networks. However, the real social contact network is affected by the flow of people within or between regions, which changes the topological str...

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Problems solved by technology

[0002] Traditional differential equation-based models of linguistic competition dynamics limit the explanatory value of models due to overly ideal assumptions

At present, the complex agent network model comprehensively considers the social structure of language, population density, language status and the influence of bilingual factors on language coexistence, and has made important progress in the study of language competition dynamics, but there are still the following problems: (1) network Focusing on static networks, without considering the dynamic characteristics of social networks

(2) The migration probability of a node's language use type in the language exchange competition network is determined by the proportion of the number of people in a certain language in the neighborhood of the node, the status of the language, etc. The language has no internal structure (such as vocabulary), and the language cannot be considered. The dynamic process of learning and mastery does not reflect the impact of language use opportunities and frequency on the type of language use and its ability to change in the system

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