融入用户个体差异性的政府辟谣信息交互行为研究——基于元胞自动机和SEIR模型  

Research on Government Rumor Refutation Information Interaction Behavior Incorporating Individual Differences of Users:Based on Cellular Automata and SEIR Model

作　　者：张卫东[1] 李松涛[1] 李奉芮 Zhang Weidong;Li Songtao;Li Fengrui(School of Business and Management,Jilin University,Changchun,130012)

机构地区：[1]吉林大学商学与管理学院,长春130012

出　　处：《情报资料工作》2024年第6期28-39,共12页Information and Documentation Services

摘　　要：[目的/意义]政府辟谣被广泛认为是能够有效遏制谣言的有力途径,社交媒体用户对辟谣信息的交互情况呈现差异性。文章通过分析不同用户个体对政府辟谣信息的交互行为特征,确定影响用户群体信息交互效果的关键因素及影响方式,进一步完善信息交互相关理论,为政府部门的科学辟谣提供理论参考。[方法/过程]基于传统元胞自动机模型,借鉴SEIR模型理论,根据用户个体的特定信息状态将用户群体细分,以量化的方式描述用户对辟谣信息的交互状态,利用MATLAB R2022a进行仿真,构建融入用户个体差异性的政府辟谣信息交互行为模型,并对模型重要参数进行分析,确定关键因素。[结果/结论]社交媒体用户对政府辟谣信息的交互行为效果主要受不同的政府辟谣信息交互策略、政府辟谣信息移出率、辟谣参与者分布模式的影响。其中,综合干预策略效果优于意见领袖跟随策略和社交距离调节策略效果;政府辟谣信息移出率越低,政府辟谣信息交互效果越佳;辟谣参与者分布模式分为随机型、集中型和均匀型,随机型分布的辟谣参与者对政府辟谣信息交互效果最佳。[Purpose/significance]Government rumor refutation is widely recognized as an effective means to curb the spread of rumors,with social media users showing variability in their interaction with refutation information.This study,by analyzing the characteristics of individual users'interaction behaviors with government refutation information,identifies the key factors and their impact on the information interaction effectiveness among user groups.It aims to further refine theories related to information interaction and provide theoretical guidance for the scientific refutation efforts of government departments.[Method/process]Based on the traditional cellular automata model and drawing on the SEIR model theory,this approach subdivides user groups according to the specific information states of individual users.It quantitatively describes users'interaction states with refutation information and utilizes MATLAB R2022a for simulation.This process constructs a model of government rumor refutation information interaction behavior that incorporates individual user differences.Furthermore,it analyzes important parameters of the model to identify key factors.[Result/conclusion]The effectiveness of social media users'interaction behaviors with government rumor refutation information is primarily influenced by different government refutation interaction strategies,the removal rate of government refutation information,and the distribution patterns of refutation participants.Among these,when considering different government refutation interaction strategies,comprehensive intervention strategies prove to be more effective than adjusting social distances and following opinion leaders.The lower the removal rate of government refutation information,the better the interaction effect of government refutation information.The distribution patterns of refutation participants can be broadly categorized into random,concentrated,and uniform types,with the random distribution of refutation participants yielding the best interaction effect wi

关 键 词：政府辟谣信息 信息交互行为 元胞自动机 SEIR模型 

分 类 号：G252[文化科学—图书馆学] D630[政治法律—政治学] C912.63[政治法律—中外政治制度] TP301.1[经济管理]