重新考察两个 IDU 风险网络中通过指数随机图建模的连通性趋势。
A reexamination of connectivity trends via exponential random graph modeling in two IDU risk networks.
机构信息
1Department of Sociology, University of Nebraska-Lincoln , Lincoln, NE , USA.
出版信息
Subst Use Misuse. 2013 Dec;48(14):1485-97. doi: 10.3109/10826084.2013.796987. Epub 2013 Jul 2.
Abstract
Patterns of risk in injecting drug user (IDU) networks have been a key focus of network approaches to HIV transmission histories. New network modeling techniques allow for a reexamination of these patterns with greater statistical accuracy and the comparative weighting of model elements. This paper describes the results of a reexamination of network data from the SFHR and P90 data sets using Exponential Random Graph Modeling. The results show that "transitive closure" is an important feature of IDU network topologies, and provides relative importance measures for race/ethnicity, age, gender, and number of risk partners in predicting risk relationships.
摘要
注射吸毒者 (IDU) 网络中的风险模式一直是网络方法研究 HIV 传播史的重点。新的网络建模技术允许使用更高的统计准确性和模型元素的比较权重重新检查这些模式。本文描述了使用指数随机图建模对 SFHR 和 P90 数据集的网络数据进行重新检查的结果。结果表明，“传递闭包”是 IDU 网络拓扑的一个重要特征，并提供了种族/民族、年龄、性别和风险伙伴数量在预测风险关系方面的相对重要性度量。
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