Sexual network
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Studies and discoveries
Like other forms of social networks, sexual networks can be formally studied using the mathematics of graph theory and network theory.[1][2]
Recent epidemiological studies [3] have investigated sexual networks, and suggest that the statistical properties of sexual networks are crucial to the spread of sexually transmitted diseases (STDs). Sub-graphs, both large and small, can be defined within the overall sexual network graph; for example, people who frequent particular bars or clubs, belong to a particular ethnic group or take part in a particular type of sexual activity, or are part of a particular outbreak of an STD. In particular, assortative mixing between people with large numbers of sexual partners seems to be an important factor in the spread of STD.
In a surprising result, mathematical models predict that the sexual network graph for the human race appears to have a single giant component that indirectly links almost all people who have had more than one sexual partner, and a great many of those who have had only one sexual partner (if their one sexual partner was themselves part of the giant component).[citation needed].
For more detailed epidemiological work, the time sequence of sexual contacts is important.
See also
References
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<references />, or <references group="..." />Further reading
- M Kretzschmar. "Sexual network structure and sexually transmitted disease prevention: a modeling perspective". Sexually Transmitted Diseases volume 27, number 10 (November 2000): pages 627– 35.
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- L E C Rocha, F Liljeros and P Holme Information dynamics shape the sexual networks of Internet-mediated prostitution. Proceedings of the National Academy of Sciences free online (March 2010).
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- Nyanzi, S., Nyanzi, B., Kalina, B., & Pool, R. (n.d). Mobility, sexual networks and exchange among bodabodamen in southwest Uganda. Taylor & Francis Ltd. Retrieved from EBSCOhost.
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