Archives of Sexual Behavior

, Volume 41, Issue 4, pp 849–860

Risk, Individual Differences, and Environment: An Agent-Based Modeling Approach to Sexual Risk-Taking

  • Emily Nagoski
  • Erick Janssen
  • David Lohrmann
  • Eric Nichols
Original Paper

DOI: 10.1007/s10508-011-9867-5

Cite this article as:
Nagoski, E., Janssen, E., Lohrmann, D. et al. Arch Sex Behav (2012) 41: 849. doi:10.1007/s10508-011-9867-5


Risky sexual behaviors, including the decision to have unprotected sex, result from interactions between individuals and their environment. The current study explored the use of Agent-Based Modeling (ABM)—a methodological approach in which computer-generated artificial societies simulate human sexual networks—to assess the influence of heterogeneity of sexual motivation on the risk of contracting HIV. The models successfully simulated some characteristics of human sexual systems, such as the relationship between individual differences in sexual motivation (sexual excitation and inhibition) and sexual risk, but failed to reproduce the scale-free distribution of number of partners observed in the real world. ABM has the potential to inform intervention strategies that target the interaction between an individual and his or her social environment.


Sexual risk taking Sexual motivation Sexual inhibition Agent-based modeling 

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • Emily Nagoski
    • 1
  • Erick Janssen
    • 2
  • David Lohrmann
    • 3
  • Eric Nichols
    • 4
  1. 1.Student Affairs, Smith CollegeNorthamptonUSA
  2. 2.Kinsey Institute for Research in Sex, Gender and Reproduction, Indiana UniversityBloomingtonUSA
  3. 3.Department of Applied Health ScienceIndiana UniversityBloomingtonUSA
  4. 4.Department of Computer ScienceIndiana UniversityBloomingtonUSA

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