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An Integrated Approach of Sensing Tobacco-Oriented Activities in Online Participatory Media

机译：在线参与式媒体中以烟草为导向的活动的综合方法

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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.
机译：随着移动物联网的普及，参与式媒体正成为烟草战争的新战场。但是，如何在参与式媒体中自动收集和分析与烟草相关的大规模用户生成的数据仍是未知的。在本文中，我们提出了一种感知烟草相关参与性媒体中的集体活动的综合方法。同时，我们比较了原烟草，反烟草和戒烟群体之间的时间模式，拓扑模式和集体情绪模式。基于提出的框架，实施了一个原型，以从Facebook收集大规模的烟草相关数据集。这表明所提出的框架是可行和合理的。我们的初步发现表明，首先，与烟草相关的含量呈指数增长。特别是，原烟草组的生长遵循指数规律，而烟草对照组则呈线性增长。第二，烟草控制社区和戒烟社区之间的联系紧密，而原烟草社区中的节点稀疏地联系在一起。最后，烟草社区的集体情感是负面的。

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  • 来源
    《IEEE systems journal》 |2016年第3期|1193-1202|共10页
  • 作者

    Yunji Liang; Xingshe Zhou; Daniel Dajun Zeng; Bin Guo; Xiaolong Zheng; Zhiwen Yu;

  • 作者单位

    Department of Management Information Systems, Eller College of Management, School of Computer Science and Technology, Northwestern Polytechnical University, University of Arizona, Xi'an, Tucson, AZ, ChinaUSA;

    School of Computer Science and Technology, Northwestern Polytechnical University, Xi'an, China;

    Department of Management Information Systems, Eller College of Management, State Key Laboratory of Management and Control for Complex Systems, University of Arizona, Institute of Automation, Chinese Academy of Sciences, Arizona, Beijing, AZ, USAChina;

    School of Computer Science and Technology, Northwestern Polytechnical University, Xi'an, China;

    State Key Laboratory of Management and Control for Complex Systems, Dongguan Research Institute of CASIA, Cloud Computing Center, Institute of Automation, Chinese Academy of Sciences (CASIA), Chinese Academy of Sciences, Beijing, Dongguan, ChinaChina;

    School of Computer Science and Technology, Northwestern Polytechnical University, Xi'an, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Media; Facebook; Communities; Sensors; Surveillance; Data mining; Data collection;

    机译：媒体;Facebook;社区;传感器;监视;数据挖掘;数据收集;

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