Accounting fraud is a highly unethical management activity with a significant negative influence on stakeholders, that can destroy a firm’s long-term sustainability prospects. Given the considerable progress in this field, it is necessary to provide a comprehensive theoretical organization of the research along with a trend analysis. This study employs network text analysis to systematically analyze research trends in accounting fraud, by combining text mining techniques and network analysis. Unlike other research trend studies that present statistical data by classifying research topics and methodologies, this study forms networks using trait information of studies such as "keywords" and "authors," and engages in a variety of related analyses such as centrality and cluster analyses. Through these exercises, it is possible to identify key research areas and groups. Results suggest that literature on accounting fraud has been developed based on six keywords: fraud detection techniques, executive compensation, assessments of fraud risks in audit processes, forensic accounting, corporate governance, and various topics relating to top management. Overall, the authorship analysis suggests that the most contributing key authors in the clusters are Carpenter, Jones, Brazel, Zimbelman, Cohen, Cumming, Carcello, Kaplan, and Lennox.