首页|谣言止于智者还是真相?基于双层耦合网络的谣言控制仿真研究

谣言止于智者还是真相?基于双层耦合网络的谣言控制仿真研究

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[目的/意义]谣言对社会带来了严重的危害,控制其传播有利于维护社会稳定和公共秩序,减少不必要的恐慌和误解.[方法/过程]本研究使用双层耦合网络具象化谣言传播所需的社会系统,并采用改进的SCIR模型,探讨了中心化(官方媒体)和非中心化(意见领袖)两种控制策略的治理效果.[结果/结论]通过智能体建模方法开展仿真实验,结果表明:官方媒体和意见领袖两种谣言控制策略各有适用范围,官方媒体控制策略对网络谣言的控制效果更优,意见领袖控制策略更适用于未被官方媒体触及的谣言.在特定条件下,降低官方媒体控制阈值比增加官方媒体数量的治理效果更优.[创新/局限]基于传播渠道构建了双层耦合网络,并在此基础上探讨了两种控制策略.所构建的模型在复杂程度上存在进一步提升的空间,控制策略中目标个体的选择不够精准.
Does Rumors End with Wisdom or Truth?A Simulation Study on Rumor Control in Dual-Layer Coupled Online-Offline Networks
[Purpose/significance]Rumors pose serious harm to society,and controlling their dissemination is beneficial for maintain-ing social stability and public order,and reducing unnecessary panic and misunderstanding.[Method/process]This study used a coupled dual-network to visualize the social system required for rumor dissemination and employed an improved SCIR model to ex-plore the governance effects of centralized(official media)and decentralized(opinion leaders)control strategies.[Result/conclusion]A series of simulation experiments conducted through the Agent-based Modeling approach showed that both official media and opin-ion leader rumor control strategies have their respective applicable scopes.The official media control strategy is more effective in con-trolling online rumors,while the opinion leader control strategy is more suitable for rumors that have not been addressed by official me-dia.Under specific conditions,decreasing the official media control threshold is more effective than increasing the number of official media in governance.[Innovation/limitation]A double-layer coupled network is constructed based on the transmission channel,and two control strategies are discussed on this basis.There is room for further improvement in the complexity of the constructed model,and the selection of target individuals in the control strategy is not accurate enough.

rumor controlSCIR modeldual-layer coupled networkofficial mediaopinion leaders

薛晓斐、方晓印、王仪雯、张强

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华中师范大学信息管理学院,湖北武汉 430070

谣言控制 SCIR模型 双层耦合网络 官方媒体 意见领袖

2024

情报科学
中国科学技术情报学会 吉林大学

情报科学

CSTPCDCSSCICHSSCD北大核心
影响因子:2.275
ISSN:1007-7634
年,卷(期):2024.42(6)