The path to success: a study of user behaviour and success criteria in online communities

Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics Pub Date : 2017-08-23 DOI:10.1145/3106426.3106469

Erik Aumayr, Conor Hayes

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引用次数: 1

Abstract

Maintaining online communities is vital in order to increase and retain their economic and social value. That is why community managers look to gauge the success of their communities by measuring a variety of user behaviour, such as member activity, turnover and interaction. However, such communities vary widely in their purpose, implementation and user demographics, and although many success indicators have been proposed in the literature, we will show that there is no one-fits-all approach to community success: Different success criteria depend on different user behaviour. To demonstrate this, we put together a set of user behaviour features, including many that have been used in the literature as indicators of success, and then we define and predict community success in three different types of online communities: Questions & Answers (Q&A), Healthcare and Emotional Support (Life & Health), and Encyclopaedic Knowledge Creation. The results show that it is feasible to relate community success to specific user behaviour with an accuracy of 0.67--0.93 F1 score and 0.77--1.0 AUC.

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成功之路:在线社区用户行为和成功标准的研究

维护在线社区对于增加和保持其经济和社会价值至关重要。这就是为什么社区管理者希望通过衡量各种用户行为来衡量他们社区的成功，比如会员活动、营业额和互动。然而，这些社区在其目的、实施和用户人口统计方面差异很大，尽管文献中提出了许多成功指标，但我们将表明，社区成功没有放之四海而皆准的方法:不同的成功标准取决于不同的用户行为。为了证明这一点，我们收集了一组用户行为特征，包括许多在文献中被用作成功指标的特征，然后我们在三种不同类型的在线社区中定义和预测社区的成功:问答(Q&A)，医疗保健和情感支持(生命与健康)，以及百科全书式知识创造。结果表明，将社区成功与特定用户行为联系起来是可行的，其准确性为0.67- 0.93 F1分数和0.77- 1.0 AUC。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics

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