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Community Structure in Audio Clip Sharing

机译:音频剪辑共享中的社区结构

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摘要

This paper describes the application of several network analysis techniques to the networks of users in audio clip sharing sites. Two kinds of networks are described: one based on the file downloading activity, and the other based on semantic similarity in the use of free tags to annotate sounds. The properties of these networks as well as their community structure are analyzed using data from Free sound, a very popular audio clip sharing site. Both are characterized as "small worlds". The component structure of the file downloading network provides a general overview of the user community which resembles the structure of the world wide web. On the other hand the analysis of the community structure of the semantic network using modularity optimization appears to be a good way to identify the different themes in the site.
机译:本文介绍了几种网络分析技术在音频剪辑共享站点中用户网络中的应用。描述了两种网络:一种基于文件下载活动,另一种基于使用免费标签注释声音时的语义相似性。使用非常流行的音频剪辑共享站点Free sound的数据分析了这些网络的属性及其社区结构。两者都被称为“小世界”。文件下载网络的组件结构提供了类似于万维网结构的用户社区的概述。另一方面,使用模块化优化对语义网络的社区结构进行分析似乎是识别站点中不同主题的一种好方法。

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