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Now a days, the viral marketing has been extensively increased on online social networks, thus increasing the research work on the influence maximization algorithms in social networks. Motivated by this viral marketing strategies, many of the researches proposed few fundamental algorithms to find the subset of individuals to promote a product where the goal is to trigger maximum number of individuals...
Data analysis is considered as a prevalent as well as critical business need due to the blowup of big data and advent of cloud computing platform. Mobile applications consume huge amount of data gathered from heterogeneous big data repositories and provide us with meaningful insights from it. These applications include business finance, investment and social networks etc. Social data analysis is one...
Nowadays, social networks are considered as a very important medium for the spreading of information, innovations and ideas etc. among individuals using Viral Marketing (VM) but the key problem with VM is to find the set of influential users, who, when convinced to adopt an innovation or idea, shall influence other users in the network, leading to large number of adoptions. Therefore, in our study...
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