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 …

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

Dynamic opinion maximization (DOM) is a significant optimization issue, whose target is to
select some nodes in the network and prorogate the opinions of network nodes, and …

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 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 …

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

In a social network, Opinion Maximization is a problem that targets spreading the desired
opinion across the social network. In the real world, every user/individual has their own …

Online social networks provide a platform to diffuse information and influence people's
opinion. Conventional models for information diffusion do not take into account the specifics …

Influence maximization (IM) targets at maximizing the number of users being aware of a
product by finding a set of seed users to expose in a social network. Previous IM models …