DocumentCode :
3613072
Title :
Epidemic spreading model based on social active degree in social networks
Author :
Wang Yanben ; Cai Wandong
Author_Institution :
Sch. of Comput. Sci., Northwestern Polytech. Univ., Xi´an, China
Volume :
12
Issue :
12
fYear :
2015
fDate :
12/1/2015 12:00:00 AM
Firstpage :
101
Lastpage :
108
Abstract :
In this paper, an improved Susceptible-Infected-Susceptible (SIS) epidemic spreading model is proposed in order to provide a theoretical method to analyze and predict the spreading of diseases. This model is based on the following ideas: in social networks, the contact probability between nodes is decided by their social distances and their active degrees. The contact probability of two indirectly connected nodes is decided by the shortest path between them. Theoretical analysis and simulation experiment were conducted to evaluate the performance of this improved model. Because the proposed model is independent of the network structure, simulation experiments were done in several kinds of networks, namely the ER network, the random regular network, the WS small world network, and the BA scale-free network, in order to study the influences of certain factors have on the epidemic spreading, such as the social contact active degree, the network structure, the average degree, etc. This improved model provides an idea for studying the spreading rule of computer virus, attitudes, fashion styles and public opinions in social networks.
Keywords :
diseases; probability; small-world networks; social sciences; BA scale-free network; ER network; SIS; WS small world network; contact probability; diseases; network structure; random regular network; social active degree; social networks; susceptible-infected-susceptible epidemic spreading model; Analytical models; Biological system modeling; Computational modeling; Erbium; Social network services; contact probability; epidemic spreading; social active degree; social networks; spreading dynamics;
fLanguage :
English
Journal_Title :
Communications, China
Publisher :
ieee
ISSN :
1673-5447
Type :
jour
DOI :
10.1109/CC.2015.7385518
Filename :
7385518
Link To Document :
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