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An Empirical Analysis of Social Interaction on Tobacco-Oriented Social Networks

机译:面向烟草的社交网络上社交互动的实证分析

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摘要

Social media is widely utilized in the tobacco control campaigns. It is a great challenge to evaluate the efficiency of tobacco control policies on social network sites and find gaps among tobacco-oriented social networks. In this paper, we construct three tobacco-oriented social networks according to user interaction on Facebook tobacco-related fan pages. We further investigate the interaction patterns including temporal distribution and interaction patterns to reveal the differences of tobacco-oriented social networks. Our empirical analysis demonstrates that: 1) the user interaction on the pro-tobacco fan pages is more active. Fan pages for tobacco promotion are more successful in obtaining more user attention. 2) The gap between tobacco promotion and tobacco control is widening. These empirical results can provide us significant insights into understanding the evolutionary patterns of social interaction in tobacco-oriented social networks and further help the government departments of tobacco control to make reasonable decisions.
机译:社交媒体广泛用于烟草控制运动中。在社交网站上评估烟草控制政策的效率并找出面向烟草的社交网络之间的差距是一项巨大的挑战。在本文中,我们根据Facebook烟草相关粉丝页面上的用户互动,构建了三个面向烟草的社交网络。我们进一步研究了交互模式,包括时间分布和交互模式,以揭示面向烟草的社交网络的差异。我们的经验分析表明:1)亲烟草粉丝页面上的用户互动更加活跃。烟草促销专页在获得更多用户关注方面更为成功。 2)促进烟草和控制烟草之间的差距正在扩大。这些实证结果可以为我们提供重要的见解,帮助他们了解面向烟草的社交网络中社会互动的演变模式,并进一步帮助政府烟草控制部门做出合理的决定。

著录项

  • 来源
    《Smart health》|2013年|18-23|共6页
  • 会议地点 Beijing(CN)
  • 作者单位

    School of Computer Science, Northwestern Polytechnical University, Xi'an, China,Department of Management Information System, University of Arizona, Tucson, Arizona, USA;

    The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China,Dongguan Research Institute of CASIA, Cloud Computing Center, Chinese Academy of Sciences, Songshan Lake, Dongguan, China;

    Department of Management Information System, University of Arizona, Tucson, Arizona, USA,The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China;

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

    Mayo Clinic in Arizona, Phoenix, USA;

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

    Tobacco; User Interaction; Social Network; Facebook; Fan Page;

    机译:烟草;用户互动;社交网络;脸书;粉丝专页;

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