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首页> 外文期刊>IEEE Transactions on Systems, Man, and Cybernetics >Can Dynamic Knowledge-Sharing Activities Be Mirrored From the Static Online Social Network in Yahoo! Answers and How to Improve Its Quality of Service?
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Can Dynamic Knowledge-Sharing Activities Be Mirrored From the Static Online Social Network in Yahoo! Answers and How to Improve Its Quality of Service?

机译：可以从Yahoo!的静态在线社交网络中反映动态的知识共享活动。答案以及如何提高其服务质量？

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摘要

Yahoo! Answers is an online platform where users can post questions and answer other users' questions. Our previous work studied the online social network (OSN) of Yahoo! Answers by analyzing information from the profiles (including fans, contacts, and interests) of top contributors and their related users. Rather than using the static profile information from the top-contributor-centered dataset, in this paper, we particularly analyze the actual questioning and answering (Q/A) behaviors of normal users. We build a Q/A network that unidirectionally connects each asker to his/her answerers. We analyze the structural characteristics of the Q/A network, user Q/A activities, and knowledge base of all users. In addition to the observations similar to our previous study, which indicates that the OSN of Yahoo! Answers can reflect user Q/A activities to a certain extent, we additionally observe that: 1) a large portion of users only ask questions without answering others' questions; 2) users are active in more knowledge categories than those indicated in their profiles; and 3) the knowledge categories of the top-contributor-related users cannot represent those of normal users. Finally, we analyze the characteristics of questions and answers in different knowledge categories. This paper not only provides an understanding of actual Q/A activities of users but also showcases the aspects of Q/A activities that the OSN of Yahoo! Answers can and cannot accurately reflect. Based on the insights gained from this paper, we propose a few methods to help improve the quality of service of Yahoo! Answers.
机译：雅虎！答案是一个在线平台，用户可以在其中发布问题并回答其他用户的问题。我们之前的工作研究了Yahoo!的在线社交网络（OSN）。通过分析来自主要贡献者及其相关用户的个人资料（包括支持者，联系人和兴趣）的信息来回答问题。在本文中，我们没有使用来自以贡献者为中心的数据集中的静态配置文件信息，而是特别分析了正常用户的实际提问和回答（Q / A）行为。我们建立了一个Q / A网络，该网络将每个询问者单向连接到他/她的应答者。我们分析了Q / A网络的结构特征，用户Q / A活动以及所有用户的知识库。除了与我们之前的研究相似的观察结果外，这表明Yahoo!的OSN！答案可以在一定程度上反映用户的问答活动，我们还观察到：1）很大一部分用户只问问题而不回答他人的问题； 2）用户所活跃的知识类别多于其个人资料中指出的知识类别； 3）与最杰出贡献者相关的用户的知识类别不能代表普通用户的知识类别。最后，我们分析了不同知识类别中的问题和答案的特征。本文不仅提供了对用户实际Q / A活动的理解，还展示了Yahoo! OSN的Q / A活动的各个方面。答案可以也不能准确反映。基于从本文中获得的见解，我们提出了一些方法来帮助提高Yahoo!的服务质量。答案。

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