TY  - CONF
ID  - SisLab2373
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2373/
A1  - Pham, Van Canh
A1  - Ha, Kim Dung
A1  - Ngo, Quang Dung
A1  - Vu, Quang Cao
A1  - Hoang, Xuan Huan
Y1  - 2016///
N2  - 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 research the problem on the model of information diffusion name 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.
TI  - A new viral marketing strategy with the competition in the large-scale Online Social Networks
AV  - public
T2  - RIVF 2016
ER  -