摘要
针对现有社交网络异常账号检测方案的不足,从泛系形影关系的角度探讨了社交网络中异常账号检测方案,分别提出了基于形影关系的轻量级异常账号检测方案,并结合时间维度的多维度检测方案,大大减少了检测工作量.
In view of the shortcomings of existing anomaly account detection schemes in social networks, this paper discusses anomaly account detection schemes in social networks from the perspective of Pan-system shadow relations, and proposes lightweight anomaly account detection schemes based on shadow relations and multi-dimensional detection schemes combined with time dimension, which greatly reduces the detection workload.
作者
李海霞
张勇敢
LI Hai-xia;ZHANG Yong-gan(School of Information Engineering,Putian University,Putian 351100,Fujian,China)
出处
《兰州文理学院学报（自然科学版）》
2019年第3期30-32,共3页
Journal of Lanzhou University of Arts and Science(Natural Sciences)
基金
福建省中青年教师教育科研项目(JA15456)
莆田学院科研基金项目(2016040)
莆田学院教育教学改革研究项目(JG201649)
关键词
形影关系
异常账号
社交网络
多维度
轻量级
检测
body-shadow relationship
abnormal account
social network
multidimension
lightweight
detection
