Influence Maximization is the problem of choosing a small set of seed users within a larger
social network in order to maximize the spread of influence under certain diffusion models …

Influence maximization (IM) has been widely studied in recent years. Given fixed number of
seed users and certain diffusion models, the IM problem aims to select proper seed users in …

Often in marketing, political campaigns and social media, two competing products or
opinions propagate over a social network. Studying social influence in such competing …

Influence maximization is one fundamental and important problem to identify a set of most
influential individuals to develop effective viral marketing strategies in social network. Most …

For existing methods for positive influence maximization in signed networks, two factors
prevent them from getting high-quality results. First, very few researchers consider the critical …

Influence maximization is an important problem of finding a small subset of nodes in a social
network, such that by targeting this set, one will maximize the expected spread of influence …

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 …

Influence maximization (IM) problem asks for a set of k nodes in a given graph G, such that it
can reach the largest expected number of remaining nodes in G. Existing methods have …

Social networks have gained huge research interest, especially in viral marketing due to
their rapid boom in the past years. It is very crucial to identify the influential users in the …

In a social network, information runs from word-of-mouth based on the relationship of the
users. The influence maximization is to find a limited number of initial users (nodes) to …