Words and Networks: How Reliable Are Network Data Constructed from Text Data?
Words and Networks: How Reliable Are Network Data Constructed from Text Data?
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文字和网络：从文本数据构建的网络数据有多可靠？
DOI：
10.1007/978-3-319-05467-4_5
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Jana Diesner
中科院分区：
文献类型：
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作者：
Jana Diesner
社交网络数据以及网络参与者产生或共享的信息是研究社交媒体声誉和权威的重要来源。关于这一主题的研究通常从一个或多个网络数据集开始，并提出有关社会技术概念的相关实质性问题，例如数据可信度的演变。本章讨论网络数据本身的可靠性，旨在阐明以下问题：在使用文本数据作为该过程的输入的情况下，网络数据的可靠性或准确性如何取决于数据构造方法？我简要概述了从文本数据源构建网络数据的一些最常见的方法，报告了我们将这些方法应用于不同领域和类型的三个语料库的发现，并得出了对理论和实践工作的启示和建议。
Social network data as well as the information produced or shared by network participants are prominent sources for studying reputation and authority in social media. Research studies on this topic often start with one or more network datasets and bring relevant substantive questions about socio-technical concepts such as the evolution of credibility to the data. This chapter deals with the reliability of network data itself and aims to shed some light on the following question: How reliable or accurate are network data depending on the data construction method for cases where text data are used as an input to this process? I provide a concise overview on some of the most common methods for constructing network data from text data sources, report on our findings from applying these methods to three corpora from different domains and genres, and derive implications and suggestions for theoretical and practical work.