Comparing NIRA and Traditional Network Approaches: A Study Case With Antisocial Personality Disorder Traits.

Objective: This study explores the NodeIdentifyR algorithm (NIRA) as a novel network analysis method for examining Antisocial Personality Disorder (ASPD) traits.

Methods: Using a sample of 2230 Brazilian adults (aged 18-73 years) who responded to ASPD-related factors of the Personality Inventory for DSM-5 (PID-5), we applied NIRA to an ASPD network and compared its results with traditional network analysis methods.

Results: Our findings revealed that deceitfulness emerged as the most central trait across both methodologies.