群落网络中谣言传播仿真与分析  

Simulation and Analysis on Rumor Propagation Within Community Network

作　　者：杨帆[1] 郭平[2] 马龙邦[1] 李建霖[1] 

机构地区：[1]后勤工程学院后勤信息工程系,重庆401311 [2]后勤工程学院训练部,重庆401311

出　　处：《后勤工程学院学报》2012年第6期85-89,共5页Journal of Logistical Engineering University

摘　　要：在群落网络中研究群体属性及群落化程度对谣言传播行为的影响,进而探讨如何控制谣言传播具有积极意义。考虑到谣言传播与疾病传播的本质区别以及群体属性,弃用经典传染病模型,而在信息传播新模型基础上提出谣言传播模型,进而研究群落网络中的谣言传播行为。利用Matlab仿真分析,发现子群落的群体属性参数取值越大,谣言在该子群落的传播规模越大;同时,随着群体属性参数的增大,谣言传播速率越大,传播规模越大;随着群落化程度参数的提高,谣言更加肆虐。研究证明:降低群体属性参数与群落化程度参数,有助于降低谣言传播速率,缩小谣言传播规模,进而控制谣言的传播。Within the community network, it is positively significant to research the impact of the group attribute and community level on rumor propagation, and discuss how to control the rumor propagation. Unlike previous similar studies around the classical epidemic spreading model, and according to the essential difference between rumor propagation and epidemic spreading, this paper takes advantage of a new information propagation model proposed in one literature, considers the group attribute and the level of community, and at last investigates rumor propagation on community network. Simulation by software Matlab reveals that the greater the sub-communities＇ attribute parameter is, the larger the propagation speed of rumors in the sub-community is. With the increase of the group attribute, the faster of rumor propagation speed is, the larger of the rumor propagation range is. With the improvement of the community level, rumor is more rampant. This paper proves that reducing both the parameters of group attribute and community level can be helpful to reduce rumor＇s propagation speed, and to control its propagation scale.

关 键 词：谣言传播 群落网络 群体属性 群落化程度 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]