ABSTRACT
Text network analysis (TNA) approach is proposed as a complement to traditional content analysis methods because it distills content to a more manageable amount of text for analysis and provides text structure. TNA offers a number of benefits. First, it is unsupervised and employs network analysis betweenness centrality and degree principles designed to identify influential words and word clusters for subsequent analysis and interpretation. From that point, any number of content analysis strategies can be applied to the content, including analyses that incorporate individual and contextual-related nontextual factors. Second, TNA is informed by the Landscape Model of Reading Comprehension, which is a reader-focused framework. Third, since TNA is unsupervised, it is not labor intensive or time consuming. Finally, TNA provides a graphical visualization of the analysis that offers an overview of the entire text, indicating key words and word themes. We illustrate this approach by analyzing the 2002 and 2012 ExxonMobil CEO CSR introductory letters.
