Algebraic Analysis of Social Networks for Bio-surveillance: The Cases of SARS-Beijing-2003 and AH1N1 Influenza-Mexico-2009

被引:3
作者
Hincapie, Doracelly [2 ]
Ospina, Juan [1 ]
机构
[1] EAFIT Univ, Sch Sci & Humanities, Phys Engn Program, Log & Computat Grp, Medellin, Colombia
[2] Univ Antioquia, Natl Sch Publ Hlth, Epidemiol Grp, Medellin, Colombia
来源
SOFTWARE TOOLS AND ALGORITHMS FOR BIOLOGICAL SYSTEMS | 2011年 / 696卷
关键词
Algebraic epidemiology; Social network analysis; SARS; AH1N1; flu; Tutte polynomial; Graph theory; Computer algebra; TUTTE POLYNOMIALS; SARS DATA; EPIDEMIOLOGY;
D O I
10.1007/978-1-4419-7046-6_77
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Algebraic analysis of social networks exhibited by SARS-Beijing-2003 and AH1N1 flu-Mexico-2009 was realized. The main tools were the Tune polynomials and Maple package Graph-Theory. The topological structures like graphs and networks were represented by invariant polynomials. The evolution of a given social network was represented like an evolution of the algebraic complexity of the corresponding Tune polynomial. The reduction of a given social network was described like an involution of the algebraic complexity of the associated Tune polynomial. The outbreaks of SARS and AH1N1 Flu were considered like represented by a reduction of previously existing contact networks via the control measures executed by health authorities. From Tutte polynomials were derived numerical indicators about efficiency of control measures.
引用
收藏
页码:751 / 761
页数:11
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