Complex Networks in the Epidemic Modelling

被引：1
|
作者：
Biegus, Tomasz [1 ]
Kwasnicka, Halina [1 ]
机构：
[1] Wroclaw Univ Sci & Technol, Dept Computat Intelligence, Wroclaw, Poland
来源：
INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2017, PT I | 2017年 / 10191卷
关键词：
Epidemic spread; Social networks; Vaccination strategy; COMPUTER VIRUSES;
D O I：
10.1007/978-3-319-54472-4_20
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The spread of infectious diseases is analyzed in the paper using social networks. Study of this phenomenon is very important due to the safety of all of us. After the analysis of properties of generated networks using known algorithms a novel method for generating scale-free complex networks was proposed. Features of the epidemic course were studied using computer experiments. The proposed method was compared with three known strategies in terms of influence of vaccination strategies on the tempo and mode of epidemic spread and the number of infected individuals.
引用
收藏
页码：202 / 213
页数：12
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