Understanding participant behavior trajectories in online health support groups using automatic extraction methods
Understanding participant behavior trajectories in online health support groups using automatic extraction methods
复制标题
使用自动提取方法了解在线健康支持小组中的参与者行为轨迹
DOI：
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复制
发表时间：
2012
期刊：
影响因子：
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通讯作者：
C. Rosé
中科院分区：
文献类型：
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作者：
Miaomiao Wen;C. Rosé
本文提出了一种自动分析方法，可以有效地检查在线社区中参与者的行为轨迹，它提供了在粒度水平上检查行为随时间变化的机会，这在以前只可能在小规模的案例研究分析中实现。我们对其性能进行了实证验证。然后，我们说明了这种方法如何提供对行为模式的洞察，从而避免对参与的错误的过度简化的假设，例如它遵循一致的趋势。特别地，我们使用这种方法来调查用户行为和痛苦的癌症事件之间的联系，并演示该工具如何帮助癌症故事总结。
This paper presents an automatic analysis method that enables efficient examination of participant behavior trajectories in online communities, which offers the opportunity to examine behavior over time at a level of granularity that has previously only been possible in small scale case study analyses. We provide an empirical validation of its performance. We then illustrate how this method offers insights into behavior patterns that enable avoiding faulty oversimplified assumptions about participation, such as that it follows a consistent trend over time. In particular, we use this method to investigate the connection between user behavior and distressful cancer events and demonstrate how this tool could assist in cancer story summarization.
影响因子：
16.4
作者：
Davison, KP;Pennebaker, JW;Dickerson, SS
通讯作者：
Dickerson, SS