Opinion maximization in social networks is an optimization problem, which targets at
determining some influential individuals (ie, seed nodes), propagating the desired opinion to …

Abstract Opinion Maximization Problem (OMP) targets at selecting a subset of influential
initial nodes and eventually generating the maximum opinion spread. The current OMP …

Influence maximization for opinion formation (IMOF) is an important problem in social
networks, which aims to select most influential nodes and obtains the maximal propagation …

Influence maximization for opinion formation (IMOF) in social networks is an important
problem, which is used to determine some initial nodes and propagate the most ideal …

Influence maximization for opinion formation (IMOF) is a significant issue in social networks.
In general, the main goal of the IMOF is to determine a set of optimal nodes in an effective …

Dynamic Opinion Maximization (DOM) is an optimization issue, which determines some
influential network nodes (ie, seed nodes) to propagate specific opinions towards a certain …

Competitive opinion maximization (COM) in signed social networks targets at selecting a
subset of influential individuals (ie, seed nodes), spreading the desired opinions of the …

Opinion maximization is a kind of optimization method, which leverages a subset of
influential nodes in social networks to spread user opinions towards the target product and …

Influence maximization is a well-known problem in the social network analysis literature
which is to find a small subset of seed nodes to maximize the diffusion or spread of …

Opinion Maximization (OM) aims at determining a small set of influential individuals,
spreading the expected opinions of an object (eg, product or individual) to their neighbors …