Studying Co-Tagging Networks in Learning Object Repositories

P. Zervas, Charalampos Alifragkis, D. Sampson
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引用次数: 1

Abstract

Co-tagging refers to the process of adding the same tag to one or more digital resources by two or more taggers. This process can be modelled as a social network, also known as co-tagging network, where the actors are the taggers and the relationships between them are the common tags that they have used. Co-tagging networks have been studied by applying social network analysis (SNA) metrics so as to: (a) draw significant insights about the influence of central users to the (tagging) behaviour of other users and (b) identify clusters of taggers based on the content of the tags that they use. Nevertheless, there are no previous works, which have studied co-tagging networks in the field of Learning Object Repositories (LORs). In this paper we aim to address this issue by studying the co-tagging network of a specific LOR, namely the OpenScienceResources (OSR) Repository.
学习对象库中协同标注网络的研究
协同标注是指两个或多个标注者在一个或多个数字资源中添加相同标注的过程。这个过程可以建模为一个社会网络,也称为共同标签网络,其中参与者是标签者,他们之间的关系是他们使用的公共标签。通过应用社会网络分析(SNA)指标对共同标记网络进行了研究,以便:(a)得出关于中心用户对其他用户(标记)行为的影响的重要见解,以及(b)根据他们使用的标签的内容确定标记者集群。然而,在学习对象存储库(LORs)领域,还没有对协同标注网络进行研究的文献。在本文中,我们的目标是通过研究特定LOR的协同标记网络,即开放科学资源(OSR)存储库来解决这个问题。
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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