无标度网络与性传播疾病：英国和津巴布韦性接触观察模式描述
Scale-free networks and sexually transmitted diseases: a description of observed patterns of sexual contacts in Britain and Zimbabwe.
作者信息
Schneeberger Anne, Mercer Catherine H, Gregson Simon A J, Ferguson Neil M, Nyamukapa Constance A, Anderson Roy M, Johnson Anne M, Garnett Geoff P
机构信息
Department of Infectious Disease Epidemiology, Faculty of Medicine, Imperial College, London, UK.
出版信息
Sex Transm Dis. 2004 Jun;31(6):380-7. doi: 10.1097/00007435-200406000-00012.
BACKGROUND
Sexually transmitted infections spread through a network of contacts created by the formation of sexual partnerships. In physics, networks have been characterized as "scale-free" if they follow a power law with an exponent between 2 and 3.
OBJECTIVE
The objective of this study was to test statistically whether distributions of numbers of sexual partners reported from different populations are well described by power laws.
STUDY DESIGN
Power laws and an exponential null model are fitted by maximum likelihood techniques to reported distributions of numbers of partners. Data are taken from 4 population-based surveys, 3 from Britain and 1 from rural Zimbabwe.
RESULTS
The networks can be described by power laws over a number of orders of magnitude. In addition, the derived exponents differ significantly and meaningfully, with an "accelerating network" formed between men who have sex with men (MSM).
CONCLUSIONS
A scale-free network approach provides a reasonable description of distributions of reported numbers of sexual partners.
背景
性传播感染通过性伴侣关系形成的人际网络传播。在物理学中，如果网络遵循指数在2到3之间的幂律，则被描述为“无标度”。
目的
本研究的目的是从统计学角度检验不同人群报告的性伴侣数量分布是否能用幂律很好地描述。
研究设计
采用最大似然技术将幂律和指数零模型拟合到报告的伴侣数量分布上。数据来自4项基于人群的调查，3项来自英国，1项来自津巴布韦农村。
结果
这些网络在多个数量级上可用幂律描述。此外，推导得出的指数存在显著且有意义的差异，在男男性行为者（MSM）之间形成了一个“加速网络”。
结论
无标度网络方法为报告的性伴侣数量分布提供了合理的描述。
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