Online social networks play a pivotal role in the propagation of information and influence as
in the form of word-of-mouth spreading. Influence maximization (IM) is a fundamental …

Influence maximization (IM) is the problem of finding a small subset of nodes in a social
network so that the number of nodes influenced by this subset can be maximized. Influence …

Influence maximization (IM) problem, which selects a subset of nodes from a social network
to maximize the influence spread, appeals to numerous scholars. Since the IM problem is …

The online social network has become an integral part of our day to life and serves as an
excellent platform for sharing ideas, opinions, and products. Influence maximization (IM) is a …

The influence maximization problem is aimed at finding a small subset of nodes in a
social./network to maximize the expected number of nodes influenced by these nodes …

Influence Maximization (IM) is the problem of finding a seed set composed of k nodes that
maximize their influence spread over a social network. Kempe et al. showed the problem to …

It is no secret that the word-of-mouth has very powerful effect on the social interconnections,
but the question is “which factors influence the word-of-mouth effectiveness?” The answer …

The main purpose of influence maximization is to find a subset of key nodes that could
maximize the spread of information under a certain diffusion model. In recent years, many …

The influence maximization is the problem of how to find a small subset of nodes (seed
nodes) that could maximize the spread of influence in social network. However, it proved to …

Influence maximization in social networks aims to find a small group of individuals, which
have maximal influence cascades. In this study, an optimization model based on a local …