基于观点邻域状态变化的复杂网络传播与干扰模型

Information Spreading with Disturbance in Complex Networks Based on State Change of Viewpoint Neighborhood

研究信息或观点在社交网络中的传播对于理解复杂网络理论动力学特征、挖掘传播规律等具有重要理论意义。基于Deffuant模型,设计一种节点状态伴随其自身观点变化而改变的信息传播模型,模型节点具有一个影响其状态的观点值,通过引入状态改变域参数,使节点观点在传播过程中逐渐变化,最终节点状态发生改变,而节点状态则由初始传播者观点邻域决定。在该模型中引入扰动信号源,结合在实际复杂网络结构中的仿真实验结果与相应理论分析模型特征,验证模型正确性与有效性。实验表明,初始观点传播者对最终传播结果具有重要影响作用;作为传播目标的观点,其概念越宽泛,在网络中引发的群体犹豫越大。

The research of information or opinion spreading in social networks has important theoretical significance for the understand⁃ing of the dynamic characteristics of complex networks and the discovery of the regular laws of propagation.Based on the Deffuant mod⁃el and SI model,this paper designs an information propagation model in which node state changes with its own viewpoint change.With the introduction of the parameters of the state change domain,the viewpoint of the node changes gradually,and finally the state of the node changes.The node state is determined and changed by its viewpoint value and the trust domain of the initial spreader.The distur⁃bance source is introduced to test the opinion spreading with two conflicting viewpoints.The simulation results and corresponding theo⁃retical analysis in some actual complex networks are used to analyze the characteristics of the presented model,and the correctness and effectiveness of the designed model are verified.Experiments show that the centrality of the initial viewpoint spreader in complex networks plays an important role in the final propagation result.If the concept of the spreading opinion is widely accepted,the conse⁃quent hesitation of crowds in the network is obviously larger.