Social network analysis (SNA) has been used in studies of gifted students in two important areas of interest: ability grouping and social isolation. How gifted students are placed in various settings has been a longstanding interest to researchers of the gifted. A major question in the gifted education literature is whether gifted students benefit more in homogeneous or heterogeneous ability groups. While teaching in homogenous groups has associated benefits, one associated risk is isolating gifted students from non-gifted peers. Some gifted students in homogeneous classrooms have expressed wanting to spend more time with non-gifted friends (Adams-Byers, Whitsell, & Moon, 2004), and highly gifted students often feel socially isolated from non-gifted peers (Colangelo, Assouline, & Gross, 2004;Hollingworth, 1942).Avramidis et al. ( 2017) discuss three methods of determining individuals' social network status and isolation within a network: peer nomination, peer rating, and social cognitive mapping. These methods ask participants to nominate or rate other students who fit a particular sociometric criterion. Using these methods, researchers can connect students and create a social network, giving insight into how students are connected to each other.However, no study on gifted education has used SNA to examine course taking patterns of gifted students to examine the curricular structures that exist in school settings (Heck, Price, & Thomas, 2004). The social network patterns of course co-enrollment can provide insight for researchers interested in the effects of ability grouping as well as social isolation of gifted students. We introduce using curricular networks to inform studies of ability grouping and social isolation. Using course co-enrollment instead of friendship nominations to provide social network metrics can provide valuable covariates in studies of ability grouping and social isolation of gifted students. This method can also inform researchers as to how gifted students