A statistical network analysis of the HIV/AIDS epidemics in Cuba

被引：7
|
作者：
Clémençon S. [1 ]
De Arazoza H. [2 ,3 ,5 ]
Rossi F. [1 ,4 ]
Tran V.C. [5 ]
机构：
[1] Institut Telecom, LTCI UMR Telecom ParisTech/CNRS 5141, 46 rue Barrault, Paris
[2] Université René Descartes, MAP5 UMR CNRS 8145, 45 rue des Saints Pères, Paris
[3] Facultad de Matemática y Computación, Universidad de la Habana, La Habana
[4] SAMM EA 4543, Université Paris 1 Panthé on-Sorbonne, Centre PMF, 90 rue de Tolbiac, Paris Cedex 13
[5] Laboratoire Paul Painlevé, UMR CNRS 8524, Université Lille 1, Villeneuve d’Ascq Cedex
来源：
Social Network Analysis and Mining | 2015年 / 5卷 / 1期
关键词：
Clustering; Contact-tracing; Cuban HIV/AIDS epidemics; Graph-mining; Social network;
D O I：
10.1007/s13278-015-0291-z
中图分类号：
学科分类号：
摘要：
The Cuban contact-tracing detection system set up in 1986 allowed the reconstruction and analysis of the sexual network underlying the epidemic (5389 vertices and 4073 edges, giant component of 2386 nodes and 3168 edges), shedding light onto the spread of HIV and the role of contact-tracing. Clustering based on modularity optimization provides a better visualization and understanding of the network, in combination with the study of covariates. The graph has a globally low but heterogeneous density, with clusters of high intraconnectivity but low interconnectivity. Though descriptive, our results pave the way for incorporating structure when studying stochastic SIR epidemics spreading on social networks. © 2015, Springer-Verlag Wien.
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页码：1 / 14
页数：13
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