基于节点亲密度挖掘的谣言抑制算法

Suppress the diffusion of rumors with nodes closeness mining

通过对谣言等易误导大众舆论的信息传播进行抑制,从而实现对谣言、错误舆论等负面信息的控制。首先,通过对社交网络的结构拓扑以及节点行为特点的分析,提出了基于节点亲密度的社交网络舆论领袖节点识别方法;然后,利用谣言传播特性及节点的亲密度,建立谣言传播模型,并分析谣言在社交网络中传播时节点的状态转化过程;最后,提出了一种利用节点亲密度实现谣言抑制的方法。

Through making the analysis of information spread in social networks, the supression of rumors, error information and other negative information was realized. Firstly, by analyzing the structure of social networks and the characteristics of node behavior, a method for the identification of opinion leader nodes was proposed based on the degree of intimacy between nodes in social networks. Then, the rumor propagation model and the analysis of nodes＇ state transformation process were made when the rumor spread in social networks. At last, the control method was proposed to suppress the diffusion of rumors with the nodes＇ closeness.