Reputation on Stack Exchange: Tag, You're It!
Reputation on Stack Exchange: Tag, You're It!
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DOI：
10.1109/waina.2014.108
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发表时间：
2014-05
期刊：
影响因子：
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通讯作者：
L. MacLeod
中科院分区：
文献类型：
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作者：
L. MacLeod
像Stack Exchange网络这样的问答网站允许用户贡献各种主题的知识。特别感兴趣的是专家用户或具有高信誉分数的用户的习惯。在Bosu等人先前工作的基础上，我们对数据进行了探索性分析，以确定用户信誉分数与用户贡献的标签多样性之间是否存在正相关。在我们的分析中，我们使用了Stack Exchange提供的数据来创建一个用户标记习惯的可视化网络。我们发现，这两个指标之间存在相关性，这表明专家用户对各种各样的标签做出了贡献。我们的研究还表明，在所研究的网络中，社区结构较差。这与关于Stack Exchange使用和幂律的流行文献一致。我们的研究结果证实了Bosu等人提出的建议之一。通过使用更大的人口，并提出了探索问答网站新领域的想法。
Question and Answer sites like the Stack Exchange network allow users to contribute knowledge in a variety of topics. Of particular interest are the habits of expert users, or users with high reputation scores. Expanding on previous work done by Bosu et al., we performed an exploratory analysis of the data to determine if there is a positive correlation between user reputation scores and the diversity of tags a user contributed to. For our analysis, we used data available from Stack Exchange to created a visual network of user tagging habits. We found that there is a correlation between these two measures, suggesting that expert users contribute to a wide variety of tags. Our research also shows poor community structures in the networks studied. This is consistent with the prevailing literature on Stack Exchange use and the power law. Our findings confirms one of the recommendations put forward by Bosu et al. Through the use of a much larger population and put forward ideas for new areas of exploration on question and answer sites.