计算机应用 ›› 2014, Vol. 34 ›› Issue (8): 2202-2208.DOI: 10.11772/j.issn.1001-9081.2014.08.2202

• 第五届中国数据挖掘会议(CCDM 2014)论文 • 上一篇    下一篇

基于Agent社会圈子网络的语言竞争模型

王超1,毕贵红2,张寿明1,韦春桃1   

  1. 1. 昆明理工大学 信息工程与自动化学院,昆明650500
    2. 昆明理工大学 电力工程学院,昆明650500
  • 收稿日期:2014-04-29 修回日期:2014-05-04 出版日期:2014-08-01 发布日期:2014-08-10
  • 通讯作者: 毕贵红
  • 作者简介:王超(1989-),男,湖南益阳人,硕士研究生,主要研究方向:复杂系统和复杂网络建模与仿真;毕贵红(1968-),男,云南石林人,教授,博士,主要研究方向:社会与经济系统仿真;张寿明(1966-),男,云南大理人,教授,博士,主要研究方向:复杂系统智能控制;韦春桃(1988-),女,广西桂林人,硕士研究生,主要研究方向:复杂网络建模与仿真。
  • 基金资助:

    国家自然科学基金资助项目

Agent-based language competition model with social circle network

WANG Chao1,BI Guihong2,ZHANG Shouming1,WEI Chuntao1   

  1. 1. College of Information Engineering and Automation, Kunming University of Science and Technology, Kunming Yunnan 650500, China;
    2. College of Electric Power Engineering, Kunming University of Science and Technology, Kunming Yunnan 650500, China
  • Received:2014-04-29 Revised:2014-05-04 Online:2014-08-01 Published:2014-08-10
  • Contact: BI Guihong

摘要:

语言传播网络是一种典型的社会网络,语言网络的结构和动态性对语言的竞争与传播具有重要影响。鉴于此特点,提出以同一地区的语言竞争现象作为研究对象,利用基于Agent的社会圈子网络来构建更能接近实际的语言网络。社会网络中个体网络的结构参数和整体网络的参数都具有良好的社会网络特点。网络中的Agent可以被赋予不同大小的社会圈子,Agent可以在网络中移动、新生和死亡,进而引起社会网络旧关系的断开和新关系的建立。网络中的Agent的语言类型代表了单语X、单语Y和双语Z(单语X和单语Y)三类,语言的传播模型为横向传播和纵向传播。在分析了语言地位、吸引因子、横纵向传播的最高比例、语言的人口比例对语言竞争影响的基础上,重点分析了社会交往半径和社会流动性对语言竞争的影响。仿真结果表明,与静态社会网络模型相比,所提模型更加贴近实际社会,能够有效提高语言之间共存的可能性,为研究濒危语言的保存提供一个较好的环境。

Abstract:

Language transmission network is a typical social network, the structure and dynamics of language networks have a significant impact on competition and the spread of the language. Therefore, using the language competition in the same area as the object of study, and then the paper proposed an Agent-based social circles network to build the social network closer to the actual language. The whole network parameters and structural parameters of individual networks have good social network characteristics. Agents in the network could be distributed to a social circles of different size. They can move, born and die, which led to the disconnection of previous links and the establishment of new contacts. Each Agent adopted one of three possible states: monolingual language in X, monolingual language in Y and bilingual language in Z, and transmitted horizontally and vertically. On the basis of the analysis of the language status, attractive parameter, the peak rate of horizontal and vertical transmission, the proportion of speakers on the impact of language competition, the article analyzed the impact of social interaction radius and social mobility on language competition. The simulation results indicate that compared with the static social network model, the proposed model is closer to the actual society, and it can effectively increase the likelihood of coexistence between languages, provides a better environment for the study of the preservation of endangered language maintenance.

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