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Information dynamics shape the sexual networks of Internet-mediated prostitution

Information dynamics shape the sexual networks of Internet-mediated prostitution

Rocha, Luis E. C. ORCID: 0000-0001-9046-8739, Liljeros, Fredrik and Holme, Petter (2010) Information dynamics shape the sexual networks of Internet-mediated prostitution. Proceedings of the National Academy of Sciences of the United States of America, 107 (13). pp. 5706-5711. ISSN 0027-8424 (Print), 1091-6490 (Online) (doi:https://doi.org/10.1073/pnas.0914080107)

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Abstract

Like many other social phenomena, prostitution is increasingly coordinated over the Internet. The online behavior affects the offline activity; the reverse is also true. We investigated the reported sexual contacts between 6,624 anonymous escorts and 10,106 sex buyers extracted from an online community from its beginning and six years on. These sexual encounters were also graded and categorized (in terms of the type of sexual activities performed) by the buyers. From the temporal, bipartite network of posts, we found a full feedback loop in which high grades on previous posts affect the future commercial success of the sex worker, and vice versa. We also found a peculiar growth pattern in which the turnover of community members and sex workers causes a sublinear preferential attachment. There is, moreover, a strong geographic influence on network structure—the network is geographically clustered but still close to connected, the contacts consistent with the inverse-square law observed in trading patterns. We also found that the number of sellers scales sublinearly with city size, so this type of prostitution does not, comparatively speaking, benefit much from an increasing concentration of people.

Item Type: Article
Additional Information: Freely available online through the PNAS open access option.
Uncontrolled Keywords: sexual contacts, prostitution, data science
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Centre for Business Network Analysis (CBNA)
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Centre for Business Network Analysis (CBNA)
Faculty of Business > Department of International Business & Economics
Last Modified: 08 Nov 2018 18:54
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/20556

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