DocumentCode :
166510
Title :
Accelerating information diffusion in social networks under the Susceptible-Infected-Susceptible epidemic model
Author :
Kandhway, Kundan ; Kuri, Joy
Author_Institution :
Dept. of Electron. Syst. Eng., Indian Inst. of Sci., Bangalore, India
fYear :
2014
fDate :
24-27 Sept. 2014
Firstpage :
1515
Lastpage :
1519
Abstract :
Standard Susceptible-Infected-Susceptible (SIS) epidemic models assume that a message spreads from the infected to the susceptible nodes due to only susceptible-infected epidemic contact. We modify the standard SIS epidemic model to include direct recruitment of susceptible individuals to the infected class at a constant rate (independent of epidemic contacts), to accelerate information spreading in a social network. Such recruitment can be carried out by placing advertisements in the media. We provide a closed form analytical solution for system evolution in the proposed model and use it to study campaigning in two different scenarios. In the first, the net cost function is a linear combination of the reward due to extent of information diffusion and the cost due to application of control. In the second, the campaign budget is fixed. Results reveal the effectiveness of the proposed system in accelerating and improving the extent of information diffusion. Our work is useful for devising effective strategies for product marketing and political/social-awareness/crowd-funding campaigns that target individuals in a social network.
Keywords :
epidemics; security of data; social networking (online); epidemic contact; information diffusion; social networks; standard SIS epidemic model; susceptible-infected-susceptible epidemic model; Acceleration; Cost function; Modeling; Optimal control; Recruitment; Sociology; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-1-4799-3078-4
Type :
conf
DOI :
10.1109/ICACCI.2014.6968621
Filename :
6968621
Link To Document :
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