基于代理的社会网络信息传播与控制模型

Agent-Based Information Dissemination and Control Model for Social Networks

提出一种基于代理的信息传播与控制模型,在对信息分类的基础上,以含有经济刺激的广告信息为例研究信息的传播与控制,构建在线与离线相融合的社会网络结构,并对代理的属性、行为及影响因素进行定义,同时设定信息传播机制,采用模糊逻辑处理方式对认知、说服、决策、传播4个决策步骤进行建模。NetLogo和C++仿真结果表明,影响力大的节点作为初始节点能加快信息的传播速度,且经济刺激和政策系数的不同会产生不同的传播效果。由此,可以通过控制初始节点的选择、经济刺激强度和外部环境等因素实施信息传播的控制。

An agent-based information dissemination and control model is proposed inthis paper. Taking advertising information as an example, we define informationcategories and merge online and offline networks in order to construct a novel socialnetwork. Agents’attributes and behaviors are defined according to influences fromboth internal and external environments. Fuzzy logic is introduced in agent decisionmakingin order to model recognition, persuasion, decision, and dissemination ofinformation. Simulations on NetLogo and C＋＋ platforms show that more influentialinitial agents can be chosen to improve the performance and economic incentive. Policyalso affects the result. We can control information dissemination by choosing initialagents, economic incentive intensity, and environment control.