Word usage mirrors community structure in the online social network Twitter
Word usage mirrors community structure in the online social network Twitter
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DOI：
10.1140/epjds15
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发表时间：
2013-12-01
期刊：
影响因子：
3.6
通讯作者：
Jansen, Vincent A. A.
中科院分区：
文献类型：
--
作者：
Bryden, John;Funk, Sebastian;Jansen, Vincent A. A.
背景：语言的功能超越了信息的传递，并随着社会环境的变化而变化。为了找出语言和社会网络结构的相互联系，我们研究了Twitter上的通信，广泛使用的在线消息service.Results：我们表明，从用户通信出现的网络可以被结构化成一个层次结构的社区，这些社区内使用的单词的频率密切复制这种模式。因此，社区可以通过其最重要的使用词来表征。由一个单独的用户使用的话，反过来，可以用来预测该用户是member.Conclusions的社区：这表明了人类语言和社交网络之间的关系，并建议在线通信的研究提供了巨大的潜力，了解人类社会的结构。我们的方法可以用于丰富社区检测与文字分析，它提供了自动分类的社区在社交网络和识别新兴的社会群体的能力。
Background: Language has functions that transcend the transmission of information and varies with social context. To find out how language and social network structure interlink, we studied communication on Twitter, a broadly-used online messaging service.Results: We show that the network emerging from user communication can be structured into a hierarchy of communities, and that the frequencies of words used within those communities closely replicate this pattern. Consequently, communities can be characterised by their most significantly used words. The words used by an individual user, in turn, can be used to predict the community of which that user is a member.Conclusions: This indicates a relationship between human language and social networks, and suggests that the study of online communication offers vast potential for understanding the fabric of human society. Our approach can be used for enriching community detection with word analysis, which provides the ability to automate the classification of communities in social networks and identify emerging social groups.