225048 Virtual social networks: A social network analysis of risk display among adolescent MySpace users

Sunday, November 7, 2010

Lindsey Breslin, MSW , Colorado School of Public Health, Department of Community and Behavioral Health, University of Colorado Denver, Aurora, CO
Sandra Black, DVM, CSPH , Colorado School of Public Health, Department of Community and Behavioral Health, University of Colorado Denver, Aurora, CO
Stephen Muth , Quintus-ential Solutions, Colorado Springs, CO
Deanna McQuillan, MA , Institute for Health Research, Kaiser Permanente Colorado, Denver, CO
Erin Wright, MA , Colorado School of Public Health, Department of Community and Behavioral Health, University of Colorado Denver, Aurora, CO
Kara Palanuk , Colorado School of Public Health Department of Community and Behavioral Health Campus, University of Colorado at Denver, Aurora, CO
Nora Lee , Colorado School of Public Health Department of Community and Behavioral Health Campus, University of Colorado at Denver, Aurora, CO
Sheana Bull, PhD, MPH , Community and Behavioral Health, University of Colorado Denver, Colorado School of Public Health, Aurora, CO
Background: Social Networking sites are extremely popular and research has shown that youth reveal much about themselves that can be construed as risky on their online profiles. We endeavored to understand if links through social networks influence the type of profile and influence each others' display and potential for sexual risk. Method: Cross sectional content analysis of MySpace profiles among 10 discrete MySpace social networks. Individuals aged 18 with My Space pages in a zip code linked to one of the top ten Metropolitan Statistical Areas (MSA), with the highest rates of HIV, Gonorrhea and Syphilis were randomly selected as seeds. We identified “top friends” listed of each seed and the subsequent Top Friends of each top friend, continuing until we had 10 discrete virtual social networks consisting of five waves of friends. We screened and coded 5,215 MySpace profiles for risk. We examined associations between risk display, number of relationships and position in the network, network membership, and individual characteristics. Results suggest that persons with more connections within a network were more likely to have risk displays similar to others in their networks (OR's range from 1.03-1.39, p<.05). Conclusions: Virtual social networks have an influence on risk display. Social networks should be targeted for prevention interventions to improve health among youth.

Learning Areas:
Planning of health education strategies, interventions, and programs
Social and behavioral sciences

Learning Objectives:
Describe the identification of high-risk virtual social networks. Explain findings about the association between risk display and number of relationships and position in a virtual social network. Discuss the use of virtual social networks for health prevention among youth.

Keywords: Adolescent Health, Prevention

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I am qualified to present because I manage research projects in the areas of HIV/AIDS prevention.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.