Fidelity Networks and Long-Run Trends in HIV/AIDS Gender Gaps
研究了一个关于（不）忠诚的动态模型，通过性网络结构解释HIV/AIDS性别差距，发现不同性别关系文化导致长期均衡中男女感染率差异，结果与实证观察一致。
More than half of the HIV/AIDS-infected population today are women. We study a dynamic model of (in)fidelity, which explains the HIV/AIDS gender gap by the configuration of sexual networks. Each individual desires sexual relationships with opposite sex individuals. Two Markov matching processes are defined, each corresponding to a different culture of gender relations. The first process leads to egalitarian pairwise stable networks in the long run, and HIV/AIDS is equally prevalent among men and women. The second process leads to anti-egalitarian pairwise stable networks reflecting male domination, and women bear a greater burden. The results are consistent with empirical observations.