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Role of Opinion Leader for the diffusion of products using Epidemic model in Online Social Network

In the emergent web period, an opinion leader plays a very significant job for the diffusion of new products in the realworld via the online social network. Various epidemic models are used for the diffusion of new products, but it is very challenging to validate the model mathematically due to network heterogeneity. In this paper, we presented a novel model that indicated how opinion leader is supportive for the diffusion of new products via Bayesian network considering the epidemic models in the online social network. In the proposed model, first, we discovered the opinion leader based on various centrality measures used for social network analysis. Next, we used the Bayesian network that depicted the joint probability distribution on a set of random users involved in the diffusion process. Finally, we implemented the proposed algorithm on real data set and evaluated the results. We observed that the obtained results are much more effective as compared to the previously developed models in concern of accuracy, precision, recall, F1-score as well. The diffusion rate of the proposed model is also lesser than the basic epidemic models.