Fig 1.
Voting network for US supreme court justices.
Fig 2.
The triangular structure of symbolic networks.
Fig 3.
The butterfly structure of binary symbolic networks.
Fig 4.
A: User topic network. B: The butterfly structure of social networks. The political caricatures were generated by the authors using Google Gemini AI. All other elements were created by the authors.
Table 1.
Dataset overview extracted from social-media hot topics.
Fig 5.
Overall framework of topical stance representation method based on topic node weighting.
The political caricatures contained within this figure were generated by the authors using Google Gemini AI. All other elements were created by the authors.
Fig 6.
Overall framework of graph attention neural network user retweet prediction method that integrates topical stance.
Fig 7.
Classification of positive and negative neighbor sets.
Fig 8.
Node neighbor information aggregation mechanism.
Table 2.
User retweet prediction experimental dataset.
Table 3.
F1 Values of user reposting behavior prediction experiment results.
Table 4.
AUC Values of user reposting behavior prediction experiment results.
Table 5.
F1 Values of user reposting polarity prediction experiment results.
Table 6.
AUC Values of user reposting polarity prediction experiment results.
Table 7.
Results of user reposting polarity prediction ablation experiment.