Visual Mining of Epidemic Networks

被引：0
|
作者：
Clemencon, Stephan [1 ]
De Arazoza, Hector [2 ,3 ]
Rossi, Fabrice [1 ]
Tran, Viet-Chi [3 ]
机构：
[1] Telecom ParisTech, Inst Telecom, CNRS, LTCI,UMR 5141, F-75013 Paris, France
[2] Univ La Habana, Fac Matemat & Computac, Havana, Cuba
[3] Univ Lille 1, Lab Paul Painleve, CNRS, UMR 8524, F-59655 Villeneuve Dascq, France
来源：
ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2011, PT II | 2011年 / 6692卷
关键词：
SEXUAL NETWORKS; TRANSMISSION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We show how an interactive graph visualization method based on maximal modularity clustering can be used to explore a large epidemic network. The visual representation is used to display statistical tests results that expose the relations between the propagation of HIV in a sexual contact network and the sexual orientation of the patients.
引用
收藏
页码：276 / 283
页数：8
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