Autistic adolescents are often perceived as socially isolated (Lasgaard, Nielsen, Eriksen, & Goossens, 2010; Tantam, 1988). The perception of social isolation by those outside of the Autistic community can also have far-reaching effects within the scientific community. This misunderstood perception leads to non-scientific based conversation and thinking and to stereotyping the adolescents (Draaisma, 2009; Taylor, Fiske, Etcoff, & Ruderman, 1978). The implication of stereotyping can have a negative impact on self-efficacy in adolescents diagnosed with Autism Spectrum Disorder (A.S.D.), especially in those adolescents who have been diagnosed with High Functioning Autism and Asperger’s Syndrome when they are themselves aware of the social awkwardness that is exhibited through their perceived behavior (Carter, Sweden, & Kurkowski, 2008). Although it is recognized that deficiencies in areas such as social cue recognition and empathic recognition are part of the diagnostic criteria (American Psychiatric Association., 2000), it is important to make a distinction between socially and culturally accepted “societal niceties” versus having the capacity to create and maintain friendships and to be an accepted member of a social structure. This study explores the idea that A.S.D. adolescents do have social networks of friends, and that technology and social networking can support the formation of close relationships (Lenhart, Madden, Macgill, & Smith, 2008; McPherson, Smith-Lovin, & Cook, 2001; Summerskill, 2009). This pilot study will examine social networks of A.S.D. youth in the Portland, Oregon metropolitan area. Using self-report survey methods, the social structure of the autistic adolescent youth can be mapped via Social Network Analysis methods. The study will include 20 autistic youths between twelve and eighteen years of age. The data collection procedure will include reports from autistic youths, as well as from parents and from the reported friends, using a snowball (convenience) sampling strategy. Analyses will rely on the UCINET program and similar methods.