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The global migration network of sex-workers
Luis E C Rocha1,2, Petter Holme3, Claudio D G Linhares4
1Department of Economics, Ghent University, Ghent, Belgium.
Journal of Computational Social Science
|January 18, 2022
Summary
Global sex-worker migration patterns reveal distinct networks, often driven by economic factors. While high-income European countries form a core, migration gains decrease with the origin country's GDP per capita.
Area of Science:
- Sociology
- Economics
- Network Science
Background:
- Global migration is driven by socioeconomic disparities, but quantifying it is challenging, especially for marginalized groups.
- High-paying activities like escort services attract international sex-worker migration.
- Existing migration studies often overlook the specific patterns of sex-worker mobility.
Purpose of the Study:
- To analyze international migration patterns of sex-workers using network analysis.
- To identify structural differences between sex-worker migration and general population migration.
- To investigate the economic, geographic, and cultural factors influencing sex-worker migration.
Main Methods:
- Utilized an extensive international online advertisement directory for escort services.
- Reconstructed a migrant flow network with countries as nodes and migration routes as links.
- Applied network analysis to identify migration patterns, core-periphery structures, and community formations.
Main Results:
- The sex-worker migration network exhibits unique structural patterns compared to general migration.
- A core of high-income European countries shows mutual migration, but Europe is fragmented into distinct network communities.
- Migration is often non-reciprocal, with some countries primarily supplying and others attracting workers.
- Gross Domestic Product per capita (GDPc) influences country attractiveness but not emigration probability.
- Median financial gains from migration are significant, but average gains decrease with the origin country's GDPc.
Conclusions:
- High-end sex-worker migration is influenced by a complex interplay of economic, geographic, and cultural factors.
- Network analysis provides valuable insights into the hidden migration flows of stigmatized populations.
- Policy and support for migrating sex-workers should consider the varying economic impacts and origin country conditions.
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