Mining and comparing engagement dynamics across multiple social media platforms
Mining and comparing engagement dynamics across multiple social media platforms
复制标题
挖掘和比较多个社交媒体平台的参与动态
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Harith Alani
中科院分区：
文献类型：
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作者：
Matthew Rowe;Harith Alani
了解是什么吸引用户参与社交媒体内容（即回复，分享，收藏）在市场分析，广告和社区管理等领域非常重要。到目前为止，许多工作已经在孤立的平台上研究了参与动态，很少考虑或评估这些动态在不同的社交媒体系统之间可能会发生变化。此外，这种探索往往使用不同的参与特征和概念，从而使参与动态的跨平台比较受到限制。在本文中，我们定义了一个共同的框架，参与分析和检查和比较参与动态，使用回复作为我们选择的参与方式，在五个社交媒体平台：Facebook，Twitter，Boards.ie，堆栈溢出和SAP社区网络。我们定义了各种常见的特征（社交和内容），以捕捉与多个社交媒体平台的参与度相关的动态，并提出了一个旨在实现跨平台比较的评估管道。我们的比较结果显示了不同平台中起作用的不同因素，同时也暴露了一些相似之处。
Understanding what attracts users to engage with social media content (i.e. reply-to, share, favourite) is important in domains such as market analytics, advertising, and community management. To date, many pieces of work have examined engagement dynamics in isolated platforms with little consideration or assessment of how these dynamics might vary between disparate social media systems. Additionally, such explorations have often used different features and notions of engagement, thus rendering the cross-platform comparison of engagement dynamics limited. In this paper we define a common framework of engagement analysis and examine and compare engagement dynamics, using replying as our chosen engagement modality, across five social media platforms: Facebook, Twitter, Boards.ie, Stack Overflow and the SAP Community Network. We define a variety of common features (social and content) to capture the dynamics that correlate with engagement in multiple social media platforms, and present an evaluation pipeline intended to enable cross-platform comparison.Our comparison results demonstrate the varying factors at play in different platforms, while also exposing several similarities.