The traditional rumor diffusion model primarily studies the rumor itself and user behavior as the entry points. The complexity of user behavior, multidimensionality of the communication space, imbalance of the data samples, and symbiosis and competition between rumor and anti-rumor are challenges associated with the in-depth study on rumor communication. Given these challenges, this study proposes a group behavior model for rumor and anti-rumor. First, this study considers the diversity and complexity of the rumor propagation feature space and the advantages of representation learning in the feature extraction of data. Further, we adopt the corresponding representation learning methods for their content and structure of the rumor and anti-rumor to reduce the spatial feature dimension of the rumor-spreading data and to uniformly and densely express the full-featured information feature representation. Second, this paper introduces an evolutionary game theory, which is combined with the user-influenced rumor and anti-rumor, to reflect the conflict and symbiotic relationship between rumor and anti-rumor. we obtain a network structural feature expression of the influence degree of users on rumor and anti-rumor when expressing the structural characteristics of group communication relationships. Finally, aiming at the timeliness of rumor topic evolution, the whole model is proposed. Time slice and discretize the life cycle of rumor is used to synthesize the full-featured information feature representation of rumor and anti-rumor. The experiments denote that the model can not only effectively analyze user group behavior regarding rumor but also accurately reflect the competition and symbiotic relation between rumor and anti-rumor diffusion.

中文翻译：

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基于表征学习和反谣言的谣言传播模型

传统的谣言传播模型主要以谣言本身和用户行为为切入点进行研究。用户行为的复杂性、传播空间的多维性、数据样本的不平衡性、谣言与反谣言的共生与竞争是谣言传播深入研究的挑战。鉴于这些挑战，本研究提出了谣言和反谣言的群体行为模型。首先，本研究考虑了谣言传播特征空间的多样性和复杂性，以及表征学习在数据特征提取中的优势。更多，我们针对谣言和反谣言的内容和结构采用相应的表示学习方法，以减少谣言传播数据的空间特征维数，并均匀密集地表达全特征信息特征表示。其次，本文引入了一种进化博弈论，结合用户影响的谣言和反谣言，来反映谣言和反谣言之间的冲突和共生关系。我们在表达群体交流关系的结构特征时，得到了用户对谣言和反谣言的影响程度的网络结构特征表达。最后，针对谣言话题演化的时效性，提出了整体模型。时间切片和离散化谣言的生命周期用于合成谣言和反谣言的全特征信息特征表示。实验表明，该模型不仅可以有效分析用户群体关于谣言的行为，而且可以准确反映谣言与反谣言传播之间的竞争和共生关系。