标签云对导航有用吗?网络理论分析

D. Helic, C. Trattner, M. Strohmaier, K. Andrews
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引用次数: 32

摘要

社会标签系统的设计者普遍认为标签云是一种有用的导航工具。这在越来越多提供标记云的标记系统中很明显,这暗示了一个隐含的假设,即标记云支持有效的导航。在本文中,我们从网络理论的角度检验了这一假设,并表明在许多情况下,它并不成立。我们首先在标注系统中建立导航模型,然后在这样的图中模拟导航过程。我们根据标签云施加的不同用户界面限制分析了三个标签数据集的可导航性。我们的研究结果证实,标签云在理论上具有有效的导航属性,但它们也表明,流行的用户界面决策,如“分页”,显著损害了它们的可导航性。最后,我们确定了一些进一步研究和设计新的标签云构建算法的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Are tag clouds useful for navigation? A network-theoretic analysis
It is a widely held belief among designers of social tagging systems that tag clouds represent a useful tool for navigation. This is evident in the increasing number of tagging systems offering tag clouds, which hints towards an implicit assumption that tag clouds support efficient navigation. In this paper, we test this assumption from a network-theoretic perspective, and show that in many cases, it does not hold. We first model navigation in tagging systems and then simulate the navigation process in such a graph. We analyse the navigability of three tagging datasets with regard to different user interface restrictions imposed by tag clouds. Our results confirm that tag clouds have efficient navigation properties in theory, but they also show that popular user interface decisions, such as ‘pagination’ significantly impair their navigability. Finally, we identify a number of avenues for further research and the design of novel tag cloud construction algorithms.
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