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The well-known influence maximization (IM) problem has been actively studied by researchers over the past decade with emphasis on marketing and social networks. Existing research has determined solutions to the IM problem by obtaining the influence spread and utilizing the property of submodularity. This paper is based on a novel approach to the IM problem geared toward optimizing clicks, and consequently...
Numerous studies have been conducted using simulation models to predict the epidemiological spread of H1N1 and understand intervention trade-offs. However, existing models are generally not very accurate in H1N1 model predictions. In this report, we examine the impact of using particle filtering in a compartmental SEIRV (susceptible, exposed, infected, recovered and vaccinated) model which considers...
The rapid increase in the global availability and use of the Internet has made it the most effective platform for the distribution of product information and advertising when compared to the traditional media such as print, television and radio. In addition, in the case of Online Social Networks (OSN), one can take advantage of the influences that one's actions has on other users and, in particular,...
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