Modeling physical activity propagation, such as physical exercise level and intensity, is the key to preventing the conduct that can lead to obesity and to spreading wellness and healthy behavior in a social network. The authors introduce a model for Topic-aware Community-level Physical Activity Propagation (TaCPP) to analyze physical activity propagation and social influence at different granularities. Given a social network, the TaCPP model first integrates the correlations between the content of social communication and social influences and then uses a hierarchical approach to detect a set of communities and their reciprocal influence strength. The authors' experimental evaluation shows not only the effectiveness of their approach but also the correlation of the detected communities with various health outcome measures.

中文翻译：

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健康社交网络中的主题感知体育活动传播

模拟体育活动传播，例如体育锻炼水平和强度，是防止可能导致肥胖的行为以及在社交网络中传播健康和健康行为的关键。作者引入了一个 Topic-aware Community-level Physical Activity Propagation (TaCPP) 模型来分析不同粒度的身体活动传播和社会影响。给定一个社交网络，TaCPP 模型首先整合社交传播内容与社会影响之间的相关性，然后使用分层方法检测一组社区及其相互影响强度。作者的实验评估不仅显示了他们方法的有效性，还显示了检测到的社区与各种健康结果指标的相关性。