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On Bharathi–Kempe–Salek conjecture for influence maximization on arborescence
- 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.
- Subjects :
- Control and Optimization
Arborescence
Conjecture
Applied Mathematics
Root (chord)
0102 computer and information sciences
02 engineering and technology
Maximization
Linear threshold
01 natural sciences
Computer Science Applications
Combinatorics
Computational Theory and Mathematics
010201 computation theory & mathematics
Cascade
Theory of computation
0202 electrical engineering, electronic engineering, information engineering
Discrete Mathematics and Combinatorics
020201 artificial intelligence & image processing
Mathematics
Subjects
Details
- ISSN :
- 15732886 and 13826905
- Volume :
- 31
- Database :
- OpenAIRE
- Journal :
- Journal of Combinatorial Optimization
- Accession number :
- edsair.doi...........5c14a877c12628e1053f3d164381804b