Weighting for sex acts to understand the spread of STI on networks

► Human sexual networks exhibit a heterogeneous structure. ► Expected network-based properties are at odds with epidemiological data for STI. ► Most network models typically assume a constant transmission risk per partnership. ► We develop a framework to weight sexual networks based on biological assumptions. ► Our weighting model re-conciliate network theory and epidemiological data for STI.