考虑时序特征的耦合网络环境下社交机器人的舆情引导
Public Opinion Guidance of Social Bots in Coupling Network Environment Considering Temporal Characteristics
张耀曾 1马静1
作者信息
- 1. 南京航空航天大学经济与管理学院,江苏 南京 211106
- 折叠
摘要
近年来,社交机器人作为社交网络生态中新的舆情参与主体备受关注.然而,国内对其研究相对不足.为深入了解社交机器人在舆情演化中发挥的作用和对应规律,有必要研究其对群体观点演化的影响.本文通过考虑个体活跃度变化表现出的霍克斯过程,构建社交网络连边时变的驱动机制.同时,搭建不对称双层耦合社交网络和对应的连续观点演化模型,并引入社交机器人研究其对群体观点的引导效果.实验分析发现,舆情事件在线上社交网络中的讨论升温后,引发了线下社交网络中群体活跃度的进一步增加,与实际情况相符.此外,极少数社交机器人也能有效引导群体观点,因此,设定一定数量的社交机器人并及早投入是有效引导舆论的策略之一.
Abstract
In recent years,social bots have garnered significant attention as new participants in the ecosystem of social networks.However,research on them within the country is relatively scarce.To gain in-depth insights into the role and corresponding pat-terns of social bots in the evolution of public opinion,it is necessary to investigate their impact on the evolution of group opin-ions.This study,by considering the Hawkes process manifested in individual activity changes,constructs a time-varying driving mechanism for the formation of social network connections.Simultaneously,it establishes an asymmetric two-layer coupled so-cial network and the corresponding continuous opinion evolution model.The study introduces social bots and explores their guid-ing effects on group opinions.The experimental analysis reveals that the discussion in online social networks about public events heats up and triggers a further increase in the group activity level in offline social networks,aligning with real-world scenarios.Additionally,a very small number of social bots can effectively guide group opinions,demonstrating their practical value.There-fore,setting a certain number of social bots and deploying them early on is an effective strategy for guiding public opinion.
关键词
观点演化/耦合网络/时序网络/舆情引导/社交机器人Key words
opinion evolution/coupled networks/temporal networks/opinion guidance/social bots引用本文复制引用
基金项目
国家自然科学基金面上项目(72174086)
出版年
2024
国家科技期刊平台
NSTL
万方数据