电子科技大学学报2025，Vol.54Issue(3)：424-431,8.DOI:10.12178/1001-0548.2024074
基于异质模体特征的社交机器人识别
Social robot recognition based on heterogeneous motif features
摘要
Abstract
Identifying bot accounts in social networks can protect social network operators and their users from a variety of malicious activities.The existing social robot recognition methods based on network structure ignore that most of the real networks are heterogeneous networks with different node or edge properties,and cannot make full use of the topological information of different types of nodes or edge,resulting in certain limitations in the identification of social robots.Based on motif theory,a social robot recognition method based on heterogeneous motif features is proposed to extract more detailed local information for distinguishing human users from robot users.Compared with BotRGCN methods,the proposed method has improved in ACC(Accuracy),Precision,Recall and F1,among which ACC has increased by 17.3%and Precision by 23.3%.At the same time,the experimental results show that the proposed method is more robust in the face of label noise than the comparative methods.This identification method can identify social robots more accurately,so as to effectively prevent malicious robots from attacking social network platforms and spreading false information or committing fraud.关键词
社交网络/异质模体/社交机器人识别/社交关系Key words
social network/heterogeneous motif/social robot recognition/social connections分类
信息技术与安全科学引用本文复制引用
肖晶晶,冉义军,许小可..基于异质模体特征的社交机器人识别[J].电子科技大学学报,2025,54(3):424-431,8.基金项目
国家自然科学基金(62173065) （62173065）
北京市自然科学基金(4242040) （4242040）
辽宁省教育厅项目(LJKM20220399) （LJKM20220399）
