Simulation of Epidemic Spread in Social Network

Author

Hu Bisong ; Gong Jianhua

Author_Institution

Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China

fYear

2009

fDate

20-22 Sept. 2009

Firstpage

1

Lastpage

4

Abstract

The epidemic spread is definitely connected to the human social relationships and activities, and as a typical complex network, social network could be used to describe the relationships and activities between human beings. This paper proposed the recovery method for the incomplete relationship data in real complex social network according to statistical sampling. The epidemic spread model based on strength values of different relationships in social network was implemented according to the traditional SEIR model. The real demographic data were applied for simulation and analysis of epidemic spread in social network. The results showed the epidemic spread in social network is compatible with the macrocosmic spread and expressed the clustering characteristic of social network.

Keywords

complex networks; diseases; graph theory; network theory (graphs); sampling methods; SEIR model; complex social network network simulation; epidemic spread model; exposed population; graph theory; human social activity; human social relationship; infected population; macrocosmic spread; real demographic data; recovered population; recovery method; social network clustering characteristic; statistical sampling method; susceptible population; Analytical models; Complex networks; Diseases; Geography; Humans; Immune system; Probability; Remote sensing; Social network services; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Management and Service Science, 2009. MASS '09. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4638-4

Electronic_ISBN

978-1-4244-4639-1

Type

conf

DOI

10.1109/ICMSS.2009.5305571

Filename

5305571