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Jump on the Bandwagon? - Characterizing Bandwagon Phenomenon in Online NBA Fan Communities

机译:跳上潮流? - 在线NBA粉丝社区中的带宽现象

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Understanding user dynamics in online communities has become an active research topic and can provide valuable insights for human behavior analysis and community management. In this work, we investigate the "bandwagon fan" phenomenon, a special case of user dynamics, to provide a large-scale characterization of online fan loyalty in the context of professional sports teams. We leverage the existing structure of NBA-related discussion forums on Reddit, investigate the general bandwagon patterns, and trace the behavior of bandwagon fans to capture latent behavioral characteristics. We observe that better teams attract more bandwagon fans, but they do not necessarily come from weak teams. Our analysis of bandwagon fan flow also shows different trends for different teams, as the playoff season progresses. Furthermore, we compare bandwagon users with non-bandwagon users in terms of their activity and language usage. We find that bandwagon users write shorter comments but receive better feedback, and use words that show less attachment to their affiliated teams. Our observations allow for more effective identification of bandwagon users and prediction of users' future bandwagon behavior in a season, as demonstrated by the significant improvement over the baseline method in our evaluation results.
机译:了解在线社区中的用户动态已成为一个积极的研究主题,可以为人类行为分析和社区管理提供有价值的见解。在这项工作中,我们调查了“Bandwagon Fan”现象,一个特殊的用户动态案例,在职业运动队的背景下提供了在线粉丝忠诚度的大规模表征。我们利用了Reddit上现有的NBA相关讨论论坛的结构,调查了一般的潮流模式,并追踪带宽风扇的行为捕获潜在行为特征。我们观察到更好的团队吸引了更多的舞台粉丝,但它们不一定来自弱小的球队。随着季后赛季节的进展,我们对Bandwagon Fan流程的分析也显示了不同团队的不同趋势。此外,我们在活动和语言使用方面将带宽用户与非频段用户进行比较。我们发现Bandwagon用户编写更短的评论,但接收更好的反馈,并使用对其附属团队的附加较少的单词。我们的观察结果允许在季节更有效地识别带宽用户的识别,并在一个季节预测用户未来的潮流行为,如我们评估结果的基线方法的显着改进所示。

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