Methodology foundations

Yuanyuan Song (), Richard T. Watson () and Xia Zhao ()

Chapter 4 in Causal Knowledge Analytics, 2025, pp 30-49 from Edward Elgar Publishing

Abstract: Causal knowledge analytics employs a variety of methods to build a causal model network and analyze codified models. The methods include graph query language, natural language processing, graph isomorphism, network analysis, directed acyclic graphs, association rule analysis, correspondence analysis, and information entropy. This chapter gives a brief introduction to the methods and discusses their applications in the causal model context.

Keywords: Graph query language; Natural language processing; Network analysis; Directed acyclic graph; Information entropy; Business analytics (search for similar items in EconPapers)
Date: 2025
ISBN: 9781035353149
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