The problem of Influence Maximization (IM) on social networks proposed firstly by Kempe et al. (2003) has been researched and developed with many cases. However, the IM in limited time while unwanted users are restricted is still a new potential subject. In this paper, we conducted the research over model of information diffusion named Locally Bounded Diffusion and tested some useful heuristic algorithms. The results of the experiment on some real datasets of social networks show that the algorithm meta-heuristic generated better output than the others.
['Canh V. Pham', 'Dung K. Ha', 'Dung Q. Ngo', 'Quang Vu', 'Huan X. Hoang']
A new viral marketing strategy with the competition in the large-scale online social networks