社会标签系统中的涌现社区结构
Emergent Community Structure in Social Tagging Systems
摘要：
一种被称为协作标记的分布式分类范例已被广泛采用在新的Web应用程序中，旨在管理和共享在线资源。这些应用程序的用户组织资源（网页，数码照片，学术论文）与他们自由选择的文本标签，或标签。在这里，我们利用社会方面的协作标记，并介绍了一个概念的资源距离的基础上集体标记活动的用户。我们从一个流行的系统中收集数据，并进行实验，表明我们的距离定义可以用来建立一个可检测的社区结构的加权资源网络。我们表明，这种社区结构清楚地揭示了资源之间的语义关系。我们观察到的资源社区是一个真正的紧急功能，从大量用户的不协调的活动，他们的检测铺平了道路，映射紧急语义在社会标记系统。
英文摘要：
A distributed classification paradigm known as collaborative tagging has been widely adopted in new Web applications designed to manage and share online resources. Users of these applications organize resources (Web pages, digital photographs, academic papers) by associating with them freely chosen text labels, or tags. Here we leverage the social aspects of collaborative tagging and introduce a notion of resource distance based on the collective tagging activity of users. We collect data from a popular system and perform experiments showing that our definition of distance can be used to build a weighted network of resources with a detectable community structure. We show that this community structure clearly exposes the semantic relations among resources. The communities of resources that we observe are a genuinely emergent feature, resulting from the uncoordinated activity of a large number of users, and their detection paves the way for mapping emergent semantics in social tagging systems.
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