Title :
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
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;
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
DOI :
10.1109/ICMSS.2009.5305571
