relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2373/
title: A new viral marketing strategy with the competition in the large-scale Online Social Networks
creator: Pham, Van Canh
creator: Ha, Kim Dung
creator: Ngo, Quang Dung
creator: Vu, Quang Cao
creator: Hoang, Xuan Huan
subject: Information Technology (IT)
description: 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.
date: 2016
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2373/1/CanhRIVF.pdf
identifier:   Pham, Van Canh and Ha, Kim Dung and Ngo, Quang Dung and Vu, Quang Cao and Hoang, Xuan Huan  (2016) A new viral marketing strategy with the competition in the large-scale Online Social Networks.  In: RIVF 2016.