摘要
小世界社会网络模型是一种描述现实社会系统的理想模型,基于此模型,提出小世界社会网络中的信息传播模型。模型中,每个社会参与者都具有一个连续型参数来描述其对于信息的态度,正的态度对信息传播有正反馈作用,而负的态度对于信息传播有负反馈作用。同时,引入局部信息和全局信息概念用以描述社会参与者对于信息的获取能力。信息传播模型在不同随机度和规模的小世界社会网络上进行了计算仿真。仿真结果表明网络的拓扑结构和参与者态度的正负反馈作用以及对于全局信息的权重对于信息的传播均衡结果有显著的影响。
Small-world social network model is one of the best ways to describe the real social system. An information diffusion model was proposed in small-world social networks. In the model, every social participant has a continuous parameter to represents his attitude to the information, and the attitude can be positive or negative and cause positive and negative feedbacks respectively. Concepts of local information and global information were introduced to describe the information acquiring ability of a social participant. Computational experiments of the information diffusion model were also carded in the small-world social networks with different randomness and scales. The simulation results show that the topological structure of the network, the feedbacks caused by the attitudes of the participants and the weight of the global information have great influence on the process that networks evolve into a uniform situation in which all participants hold a same attitude.
出处
《系统仿真学报》
EI
CAS
CSCD
北大核心
2006年第4期1084-1087,共4页
Journal of System Simulation
关键词
小世界网络
信息传播
社会网络
系统仿真
small-world networks
information diffusion models
social networks
system simulation
