Coarse-to-fine label propagation with hybrid representation for deep semi-supervised bot detection

doi:10.1007/s11276-024-03821-2

	Coarse-to-fine label propagation with hybrid representation for deep semi-supervised bot detection
	Peng, Huailiang 1,2; Zhang, Yujun 1,2; Bai, Xu 2,3; Dai, Qiong 2,3
	2024-08-14
发表期刊	WIRELESS NETWORKS
ISSN	1022-0038
页码	16
摘要	Social bot detection is crucial for ensuring the active participation of digital twins and edge intelligence in future social media platforms. Nevertheless, the performance of existing detection methods is impeded by the limited availability of labeled accounts. Despite the notable progress made in some fields by deep semi-supervised learning with label propagation, which utilizes unlabeled data to enhance method performance, its effectiveness is significantly hindered in social bot detection due to the misdistribution of individuation users (MIU). To address these challenges, we propose a novel deep semi-supervised bot detection method, which adopts a coarse-to-fine label propagation (LP-CF) with the hybridized representation models over multi-relational graphs (HR-MRG) to enhance the accuracy of label propagation, thereby improving the effectiveness of unlabeled data in supporting the detection task. Specifically, considering the potential confusion among accounts in the MIU phenomenon, we utilize HR-MRG to obtain high-quality user representations. Subsequently, we introduce a sample selection strategy to partition unlabeled samples into two subsets and apply LP-CF to generate pseudo labels for each subset. Finally, the predicted pseudo labels of unlabeled samples, combined with labeled samples, are used to fine-tune the detection models. Comprehensive experiments on two widely used real datasets demonstrate that our method outperforms other semi-supervised approaches and achieves comparable performance to the fully supervised social bot detection method.
关键词	Social bot detection Digital twins Edge intelligence Label propagation Social network analysis
DOI	10.1007/s11276-024-03821-2
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:001290661300001
出版者	SPRINGER
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/39660
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhang, Yujun
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Inst Informat Engn, Beijing 100095, Peoples R China
推荐引用方式 GB/T 7714	Peng, Huailiang,Zhang, Yujun,Bai, Xu,et al. Coarse-to-fine label propagation with hybrid representation for deep semi-supervised bot detection[J]. WIRELESS NETWORKS,2024:16.
APA	Peng, Huailiang,Zhang, Yujun,Bai, Xu,&Dai, Qiong.(2024).Coarse-to-fine label propagation with hybrid representation for deep semi-supervised bot detection.WIRELESS NETWORKS,16.
MLA	Peng, Huailiang,et al."Coarse-to-fine label propagation with hybrid representation for deep semi-supervised bot detection".WIRELESS NETWORKS (2024):16.