基于Agent动态加权二部无标度网络的异性HIV传播与政策调控模型

摘要/Abstract

摘要： HIV的传播是个体的行为、疾病的干预措施和个体之间的社会网络协同演化的结果。提出了基于agent的动态加权二部无标度网络方法的异性HIV传播和干预仿真模型。二部网络中的女性人群根据高危行为不同分为普通人群和女性性工作者(Female Sex Workers,FSW),男性人群根据高危行为不同分为普通人群和女性性工作者客户(Clients of female sex worker,CSW)。给出了利用配置模型快速生成指数可调的异性二部无标度网络的生成算法,其根据异性二部网络中单位时间内性行为次数的分配算法确定二部网络中边的权值,构成二部加权无标度网络。网络中的伙伴关系有固定关系、偶然关系型和临时关系,二部网络中的边可随边的维持时间的结束而断开和重连,网络具有动态特性。个体/agent模型描述了个体高危行为、病程、个体社会结构与干预措施之间的相互影响关系。仿真实验分析了个体高危行为是否采用安全措施、是否参加自愿咨询检测和是否参加抗病毒治疗等干预措施对疾病传播的影响。

关键词: Agent,二部图无标度网络,干预措施,HIV

Abstract: The spread of HIV is the result of coevolution of individual behaviors,intervention measures and social networks．This paper presented a method based on bipartite dynamic weighting scale-free agent network for investigating HIV heterosexual transmission and the effectiveness of HIV prevention interventions．According to different high-risk behavior,the female is divided into the general population and female sex workers (FSW),and the male is divided into the general population and clients of female sex worker (CSW) in the bipartite network．A bipartite scale-free network configuration generation algorithm was constructed for describing the relationships of heterosexual contacts．A new weighting algorithm was developed to construct weighting network by adding sex act explicitly on heterosexual contact network．The dynamics of heterosexual network is supported through heterosexual network stable,casual and temporarypartnership dissolution and formation．In the model,agent represents males and females who interact each other within risk networks engaging in sexual behavior over time．Agent describes individual high-risk behavior,course of HIV disease and social structure．Agent also defines the behavior rules for adaption to the HIV prevention interventions．Exploratory simulation results are consistent with empirical studies,which demonstrate the effectiveness of a combination of interventions,including voluntary counseling and HIV test,condom promotion for safe sexual behavior and initiating antiretroviral treatment.

Key words: Agent,Bipartite scale-free network,Intervention,HIV

何晓力,毕贵红,王海瑞. 基于Agent动态加权二部无标度网络的异性HIV传播与政策调控模型[J]. 计算机科学, 2014, 41(1): 72-79. https://doi.org/

HE Xiao-li,BI Gui-hong and WANG Hai-rui. Evaluating Heterosexual HIV Transmission and Interventions Based on Agent Bipartite Dynamic Weighting Scale-free Network[J]. Computer Science, 2014, 41(1): 72-79. https://doi.org/

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