What Users Actually Do in a Social Tagging System

What Users Actually Do in a Social Tagging System
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用户在社交标签系统中实际做了什么

DOI:
10.1145/2896821
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发表时间:
2016
期刊:
ACM Transactions on the Web (TWEB)
影响因子:
--
通讯作者:
Markus Strohmaier
Markus Strohmaier
中科院分区:
--
文献类型:
--
作者:
Stephan Doerfel;Daniel Zoller;Philipp Singer;Thomas Niebler;Andreas Hotho;Markus Strohmaier

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社会标签系统已经成为当今网络的一个重要组成部分,并在各种调查中吸引了我们研究社区的兴趣。从此以后,社会标签系统的几个方面已经讨论和假设已经出现,我们的社区建立他们的工作。然而,由于过去缺乏合适的使用数据,测试这些假设一直很困难。在这项工作中,我们全面调查和评估了标签系统的四个方面,包括社交互动、发布资源的检索、三种不同类型实体(用户、资源和标签)的重要性,以及这些实体在发布和请求内容中的受欢迎程度之间的联系。为此,我们检查从现实世界的公共社会标记系统BibSonomy收集的实时服务器日志数据。我们的实证结果描绘了这四个方面的复杂图景。虽然典型的假设在一定程度上对某些方面成立,但其他方面需要以非常批判的眼光来反映。我们的观察对理解社会标签系统及其在网络上的使用方式具有启示意义。我们将这项工作中使用的数据集提供给其他研究人员。
Social tagging systems have established themselves as an important part in today’s Web and have attracted the interest of our research community in a variety of investigations. Henceforth, several aspects of social tagging systems have been discussed and assumptions have emerged on which our community builds their work. Yet, testing such assumptions has been difficult due to the absence of suitable usage data in the past. In this work, we thoroughly investigate and evaluate four aspects about tagging systems, covering social interaction, retrieval of posted resources, the importance of the three different types of entities, users, resources, and tags, as well as connections between these entities’ popularity in posted and in requested content. For that purpose, we examine live server log data gathered from the real-world, public social tagging system BibSonomy. Our empirical results paint a mixed picture about the four aspects. Although typical assumptions hold to a certain extent for some, other aspects need to be reflected in a very critical light. Our observations have implications for the understanding of social tagging systems and the way they are used on the Web. We make the dataset used in this work available to other researchers.
网络日志分析:十年来有关用户交互的信息获取、检查和解释的研究回顾
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