The growing popularity of social networks is providing a promising opportunity for different
practical applications. The influence analysis is an essential technique supporting the …

Influence maximization (IM) is formulated as selecting a set of initial users from a social
network to maximize the expected number of influenced users. Researchers have made …

Over the recent decade, much research has been conducted in the field of social networks.
The structure of these networks has been irregular, complex, and dynamic, and certain …

Given a social network with diffusion probabilities as edge weights and a positive integer k,
which k nodes should be chosen for initial injection of information to maximize the influence …

El propósito de este documento es explorar la estructura intelectual del marketing viral, su
evolución y tendencias de investigación. Para ello, a partir de técnicas y herramientas de la …

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 …

Online social networks provide a convenient platform for the spread of rumors, which could
lead to serious aftermaths such as economic losses and public panic. The classical rumor …

Balanced influence maximization aims to balance the influence maximization of multiple
different entities in social networks and avoid the emergence of filter bubbles and echo …

The proliferation of attacks on On-line Social Networks (OSNs) has imposed particular
attention by providers and users. This has an even higher importance for Social Reviewing …

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 …