信息变异下的谣言传播及其漂移机制研究

Research on Rumor Spreading and its Drifting Mechanism Based on Information Variation

[目的/意义]在谣言传播过程中,个体的信息加工行为常引发谣言漂移现象,为了研究这种漂移现象及其机制,基于经典SIR模型及无标度网络模型,构建信息变异下的谣言传播模型。[方法/过程]将谣言信息表示为10纬向量,定义个体信息交互规则,从微观角度刻画谣言传播过程。引入谣言漂移熵及谣言漂移图谱衡量谣言传播的特征。[结果/结论]网民心理状态对谣言传播有显著影响,网民越是偏激,谣言传播就越快,持续时间越长,谣言混乱度越大,且存在一个网民心理状态的阈值,当冷静个体比例超过该阈值时,谣言漂移熵值显著减小;关键节点对谣言传播有显著影响,在1000个结点的无标度网络中,控制少数关键节点就可以显著抑制谣言且效用最高;初始传播者数量对谣言变异程度无显著影响,但初始传播者数量的增加会加快谣言传播,缩短谣言持续时间。

[Purpose/Significance]In the process of rumor spreading,the information processing behaviors of netizens can cause rumor to drift.In order to study this drifting phenomenon and its mechanism,based on the SIR model and the BA scale-free network model,the rumor propagation model under the information variation is constructed.[Method/Process]The rumor information is represented as a 10 latitude vector.The rules of information interaction are defined,describing the process of rumor spreading from a microscopic perspective.The entropy and map of rumor drifting are used to measure the characteristics of rumor spreading process.[Result/Conclusion]The psychological state of netizens has a significant influence on the process of rumor spreading.The more extreme they are,the faster rumor spreads,the longer rumor lasts,and the more disordered the system is.And there is a threshold of psychological state of netizens,when the proportion of calm individuals exceeds the threshold,the entropy of rumor drifting decreases significantly;key nodes have a significant influence on the process of rumor propagation.In the scale-free network of 1000 nodes,controlling a few nodes with the highest degree can significantly inhibit the rumor and has the highest utility.The number of initial spreaders has no significant impact on variation of the rumor,but the increase of the initial spreaders can accelerate the spreading of rumors,thus shortening the duration.