An Integrated Approach of Sensing Tobacco-Oriented Activities in Online Participatory Media
文献类型:期刊论文
作者 | Liang, Yunji1,2; Zhou, Xingshe1; Zeng, Daniel Dajun2,3![]() ![]() |
刊名 | IEEE SYSTEMS JOURNAL
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出版日期 | 2016-09-01 |
卷号 | 10期号:3页码:1193-1202 |
关键词 | Facebook Internet of Things (IoT) participatory media public health tobacco control tobacco surveillance |
英文摘要 | With 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. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Operations Research & Management Science ; Telecommunications |
研究领域[WOS] | Computer Science ; Engineering ; Operations Research & Management Science ; Telecommunications |
关键词[WOS] | INTELLIGENCE ; INTERNET |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000383260300033 |
源URL | [http://ir.ia.ac.cn/handle/173211/12634] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心 |
作者单位 | 1.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 |
推荐引用方式 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. |
入库方式: OAI收割
来源:自动化研究所
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