摘要： 利用谣言在人类社区中的传播方式与病毒传播类似的特性，将微博社区用户抽象为网络中的节点，构造微博信息传播网，从宏观角度研究谣言在网络中的传播机理。SIR建模和计算机仿真证明，谣言传播受有效传染率和网络度分布熵影响，有效传染率越大，网络受影响规模越大，网络度分布熵越小，谣言越容易传播。
关键词:
微博社区,
SIR模型,
谣言传播,
传染率,
度分布熵
Abstract: The propagation of rumors is similar to virus spreading in social networks. This paper builds SIR model and discusses the propagation taking into account topology of microblogging communication network and the rules of rumor. The mathematical derivation and computer simulation reveal that the propagation is impacted by the infection rate and degree distribution entropy. More serious the infection rate affects, more enormous the scale of infection is. Smaller the degree distribution entropy is, easier the rumors spread in it.
Key words:
microblogging community,
SIR model,
rumor propagation,
infection rate,
degree distribution entropy
中图分类号:
许晓东, 肖银涛, 朱士瑞. 微博社区的谣言传播仿真研究[J]. 计算机工程, 2011, 37(10): 272-274.
HU Xiao-Dong, XIAO Yin-Chao, SHU Shi-Rui. Simulation Investigation of Rumor Propagation in Microblogging Community[J]. Computer Engineering, 2011, 37(10): 272-274.