Title |
Risk, Individual Differences, and Environment: An Agent-Based Modeling Approach to Sexual Risk-Taking
|
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Published in |
Archives of Sexual Behavior, November 2011
|
DOI | 10.1007/s10508-011-9867-5 |
Pubmed ID | |
Authors |
Emily Nagoski, Erick Janssen, David Lohrmann, Eric Nichols |
Abstract |
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. |
X Demographics
Geographical breakdown
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Australia | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 2 | 5% |
Unknown | 36 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 13 | 34% |
Student > Master | 6 | 16% |
Researcher | 5 | 13% |
Student > Doctoral Student | 4 | 11% |
Student > Bachelor | 2 | 5% |
Other | 4 | 11% |
Unknown | 4 | 11% |
Readers by discipline | Count | As % |
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Social Sciences | 7 | 18% |
Psychology | 7 | 18% |
Computer Science | 6 | 16% |
Medicine and Dentistry | 4 | 11% |
Nursing and Health Professions | 3 | 8% |
Other | 6 | 16% |
Unknown | 5 | 13% |