Classifying user connections through social media avatars and users social activities: a case study in identifying sellers on social media

doi:10.1080/17517575.2020.1856420

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室

	Classifying user connections through social media avatars and users social activities: a case study in identifying sellers on social media
	Mao, Yu 5; Zhu, Yifan 5; Liu, Yiping 4; Lin, Qika 3; Lu, Hao 2,5; Zhang, Fuquan 1
刊名	ENTERPRISE INFORMATION SYSTEMS
	2020-12-19
页码	20
关键词	User profiling avatars in social media user activity suspicious user detection
ISSN号	1751-7575
DOI	10.1080/17517575.2020.1856420
通讯作者	Zhang, Fuquan(zfq94@foxmail.com)
英文摘要	Compilation of users' avatars together with associated online activities strengthens the ability to discover user connections which focuses on understanding users online behaviours. This paper made an initial attempt to identify special type of SNS users by incorporating users avatar information, which proposes a multi-modal user profiling method that examines the relationship between users' avatar and their internet behaviours. Based on investigation and case study, the experiments showed significant differences in behaviour and attributes among avatar categories. The results also proved the feasibility of the proposed method in identifying user groups on a given Internet.
资助项目	National Basic Research Program of China (973 Program)[2013CB329303] ; National Basic Research Program of China (973 Program)[2012CB720700] ; National Natural Science Foundation of China[61371194]
WOS关键词	GENDER IDENTITY
WOS研究方向	Computer Science
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000599664500001
资助机构	National Basic Research Program of China (973 Program) ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/42743]
专题	自动化研究所_复杂系统管理与控制国家重点实验室
通讯作者	Zhang, Fuquan
作者单位	1.Minjiang Univ, Fujian Prov Key Lab Informat Proc & Intelligent C, Fuzhou 350108, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China 3.Xi An Jiao Tong Univ, Sch Comp Sci & Technol, Xian, Peoples R China 4.Univ Auckland, Sch Comp Sci, Auckland, New Zealand 5.Beijing Inst Technol, Sch Comp Sci & Technol, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Mao, Yu,Zhu, Yifan,Liu, Yiping,et al. Classifying user connections through social media avatars and users social activities: a case study in identifying sellers on social media[J]. ENTERPRISE INFORMATION SYSTEMS,2020:20.
APA	Mao, Yu,Zhu, Yifan,Liu, Yiping,Lin, Qika,Lu, Hao,&Zhang, Fuquan.(2020).Classifying user connections through social media avatars and users social activities: a case study in identifying sellers on social media.ENTERPRISE INFORMATION SYSTEMS,20.
MLA	Mao, Yu,et al."Classifying user connections through social media avatars and users social activities: a case study in identifying sellers on social media".ENTERPRISE INFORMATION SYSTEMS (2020):20.