An Integrated Approach of Sensing Tobacco-Oriented Activities in Online Participatory Media
Liang, Yunji1,2; Zhou, Xingshe1; Zeng, Daniel Dajun2,3; Guo, Bin1; Zheng, Xiaolong3,4; Yu, Zhiwen1
Source PublicationIEEE SYSTEMS JOURNAL
2016-09-01
Volume10Issue:3Pages:1193-1202
SubtypeArticle
AbstractWith the embracing of mobile Internet of Things, participatory media is becoming a new battlefield for tobacco wars. However, how to automatically collect and analyze the large-scale user-generated data that are relevant to tobacco in participatory media is still unexplored. In this paper, we propose an integrated approach of sensing collective activities in tobacco-related participatory media. Meanwhile, we compare the temporal patterns, topological patterns, and collective emotion patterns among protobacco, antitobacco, and quit-tobacco groups. Based on the proposed framework, a prototype was implemented to collect large-scale tobacco-related data sets from Facebook. This demonstrates that the proposed framework is feasible and reasonable. Our preliminary findings reveal that, first, tobacco-related content grows exponentially. In particular, the growth of the protobacco group follows the exponential law, whereas there is linear growth for the tobacco control group. Second, the connection between the tobacco control community and the tobacco cessation community is tight, whereas the nodes in the protobacco community are connected sparsely. Finally, the collective emotion in tobacco communities is negative.
KeywordFacebook Internet Of Things (Iot) Participatory Media Public Health Tobacco Control Tobacco Surveillance
WOS HeadingsScience & Technology ; Technology
DOI10.1109/JSYST.2014.2304706
WOS KeywordINTELLIGENCE ; INTERNET
Indexed BySCI
Language英语
Funding OrganizationNational Basic Research Program of China(2012CB316400) ; National Natural Science Foundation of China(71103180 ; Beijing Natural Science Foundation(4132072) ; Doctorate Foundation of Northwestern Polytechnical University ; 91124001 ; 71025001 ; 91024030 ; 61332005 ; 61373119 ; 61222209 ; 71272236)
WOS Research AreaComputer Science ; Engineering ; Operations Research & Management Science ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Operations Research & Management Science ; Telecommunications
WOS IDWOS:000383260300033
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12634
Collection复杂系统管理与控制国家重点实验室_互联网大数据与信息安全
Affiliation1.Northwestern Polytech Univ, Sch Comp Sci & Technol, Xian 710072, Peoples R China
2.Univ Arizona, Dept Management Informat Syst, Eller Coll Management, Tucson, AZ 85721 USA
3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
4.Chinese Acad Sci, Cloud Comp Ctr, Dongguan Res Inst CASIA, Dongguan 523808, Peoples R China
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GB/T 7714
Liang, Yunji,Zhou, Xingshe,Zeng, Daniel Dajun,et al. An Integrated Approach of Sensing Tobacco-Oriented Activities in Online Participatory Media[J]. IEEE SYSTEMS JOURNAL,2016,10(3):1193-1202.
APA Liang, Yunji,Zhou, Xingshe,Zeng, Daniel Dajun,Guo, Bin,Zheng, Xiaolong,&Yu, Zhiwen.(2016).An Integrated Approach of Sensing Tobacco-Oriented Activities in Online Participatory Media.IEEE SYSTEMS JOURNAL,10(3),1193-1202.
MLA Liang, Yunji,et al."An Integrated Approach of Sensing Tobacco-Oriented Activities in Online Participatory Media".IEEE SYSTEMS JOURNAL 10.3(2016):1193-1202.
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