现代情报2024，Vol.44Issue(2)：142-151,10.DOI:10.3969/j.issn.1008-0821.2024.02.012
基于改进HK模型的社交用户观点演化预测研究
Research on Evolution Prediction of Social Users Opinion Based on the Improved HK Model
摘要
Abstract
[Purpose/Significance]Accurate prediction of the evolution of public opinion is significance in resolving public opinion crises.[Method/Process]To solve the shortcomings of the existing HK model for predicting the evolution of social users'opinions,the following improvement were given:Firstly,the initial opinion values of users were obtained from historical blog posts with similarity to the current event above a threshold.Secondly,the user confidence threshold was re-vised by calculating the affinity using the interaction behavior between users and the following relationship.Then,the global influence of users,the interaction between users and the proximity of opinions were combined to calculate the comprehen-sive trust degree between users,highlighting the differences in the weight of opinion influence between users.Finally,the improved HK model was used to predict the evolution of social users'opinion.[Result/Conclusion]The experimental re-sults show that the improved HK model for opinion evolution prediction has lower MSE and MAE values and can provide ef-fective predictions for opinion development.关键词
HK模型/观点演化预测/社交用户Key words
HK model/opinion evolution prediction/social users分类
社会科学引用本文复制引用
吴树芳,郑依静,朱杰..基于改进HK模型的社交用户观点演化预测研究[J].现代情报,2024,44(2):142-151,10.基金项目
河北省人文社会科学研究重大课题攻关项目"基于大数据的河北省网络治理机制研究"(项目编号:ZD202102) （项目编号:ZD202102）
河北大学社会科学研究重大课题培育项目"网络生态驱动下谣言传播及阻断机制研究"(项目编号:2021HPY004) （项目编号:2021HPY004）
河北省自然科学基金项目"基于语义结构的自适应图卷积跨模态特征学习方法研究"(项目编号:F2022511001). （项目编号:F2022511001）
