Validity Issues in the Use of Social Network Analysis with Digital Trace Data
Validity Issues in the Use of Social Network Analysis with Digital Trace Data
复制标题
使用数字跟踪数据进行社交网络分析的有效性问题
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Kevin Crowston
中科院分区：
文献类型：
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作者：
J. Howison;Andrea Wiggins;Kevin Crowston
社交网络分析方法与通过信息技术（从在线社区到企业信息系统）的社交互动产生的数据源增长之间存在令人兴奋的自然匹配。信息系统研究人员并没有缓慢地接受这种方法和数据的结合。这些系统越来越多地提供“数字跟踪数据”，提供新的研究机会。然而，数字跟踪数据与最初开发网络分析措施和解释的调查和访谈数据有很大不同。本文探讨了10个有效性问题相结合的数字跟踪数据和社会网络分析方法，从IS文献的例子，为提高未来研究的有效性提供建议。
There is an exciting natural match between social network analysis methods and the growth of data sources produced by social interactions via information technologies, from online communities to corporate information systems. Information Systems researchers have not been slow to embrace this combination of method and data. Such systems increasingly provide “digital trace data” that provide new research opportunities. Yet digital trace data are substantively different from the survey and interview data for which network analysis measures and interpretations were originally developed. This paper examines 10 validity issues associated with the combination of digital trace data and social network analysis methods, with examples from the IS literature, to provide recommendations for improving the validity of future research.