Back to Search Start Over

On Bharathi–Kempe–Salek conjecture for influence maximization on arborescence

Authors :
Ailian Wang
Weili Wu
Lei Cui
Source :
Journal of Combinatorial Optimization. 31:1678-1684
Publication Year :
2016
Publisher :
Springer Science and Business Media LLC, 2016.

Abstract

Bharathi et al. (WINE, pp 306---311, 2007) conjectured that the influence maximization problem is NP-hard for arborescence directed into a root. In this note, we show that this conjecture is not true for deterministic diffusion model and linear threshold (LT) model, that is, there exist polynomial-time algorithms for the influence maximization problem in those two models on arborescence directed into a root. This means that if the conjecture in the independent cascade (IC) model is true, then it would give an interesting difference between the IC model and the LT model.

Details

ISSN :
15732886 and 13826905
Volume :
31
Database :
OpenAIRE
Journal :
Journal of Combinatorial Optimization
Accession number :
edsair.doi...........5c14a877c12628e1053f3d164381804b