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A case study of contributor behavior in Q&A site and tags: the importance of prominent profiles in community productivity

机译:问答站点和标签中贡献者行为的案例研究:杰出的个人档案对社区生产力的重要性

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Background Question-and-answer (Q&A) sites have shown to be a valuable resource for helping people to solve their everyday problems. These sites currently enable a large number of contributors to exchange expertise by different ways (creating questions, answers or comments, and voting in these), and it is noticeable that they contribute in diverse amounts and create content of varying quality. Methods Concerned with diversity of behaviors, this paper advances present knowledge about Q&A sites by performing a cluster analysis with a multifaceted view of contributors that account for their motivations and abilities to identify the most common behavioral profiles in these sites. Results By examining all contributors’ activity from a large site named Super User, we unveil nine behavioral profiles that group users according to the quality and quantity of their contributions. Based on these profiles, we analyze the community composition and the importance of each profile in the site’s productivity. Moreover, we also investigate seven tag communities from Super User aiming to experiment with the generality of our results. In this context, the same nine profiles were found, and it was also observed that there is a remarkable similarity between the composition and productivity of the communities defined by the seven tags and the site itself. Conclusions The profiles uncovered enhance the overall understanding of how Q&A sites work and knowing these profiles can support the site’s management. Furthermore, an analysis of particularities in the tag communities comparison relates the variation in behavior to the typical behavior of each tag community studied, what also draws implications for creating administrative strategies.
机译:背景问答(Q&A)网站已证明是帮助人们解决日常问题的宝贵资源。这些站点当前使大量贡献者可以通过不同方式(创建问题,答案或评论以及对此进行投票)来交流专业知识,并且值得注意的是,它们贡献了不同的数量并创建了质量不同的内容。方法有关行为的多样性,本文通过对参与者进行多角度分析以进行聚类分析,从而阐明了问答站点的动机和能力,从而阐明了问答站点在这些站点中最常见的行为特征。结果通过检查大型网站“超级用户”中所有贡献者的活动,我们揭示了九个行为特征,这些特征根据用户贡献的质量和数量进行分组。根据这些个人资料,我们分析了社区组成以及每个个人资料对网站生产力的重要性。此外,我们还调查了超级用户的七个标签社区,目的是对结果的一般性进行试验。在这种情况下,发现了相同的九个配置文件,并且还观察到,由七个标签定义的社区的组成和生产力与站点本身之间存在显着相似性。结论揭示的个人资料可增强对Q&A网站工作方式的总体了解,并且知道这些个人资料可以支持网站的管理。此外,标签社区比较中的特殊性分析将行为的变化与所研究的每个标签社区的典型行为相关联,这也对创建管理策略产生了影响。

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