Influence maximization (IM) is an important topic in network science where a small seed set
is chosen to maximize the spread of influence on a network. Recently, this problem has …

The spread of influence in networks is a topic of great importance in many application areas.
For instance, one would like to maximise the coverage, limiting the budget for marketing …

Finding a set of nodes that maximizes the spread in a network, known as the influence
maximization problem, has been addressed from multiple angles throughout the literature …

Influence maximization (IM) is the task of finding the most important nodes in order to
maximize the spread of influence or information on a network. This task is typically studied …

In this article, we evaluate, for the first time, the potential of a scheduled seeding strategy for
influence maximization in a real-world setting. We first propose methods for analyzing …

Influence maximization is a problem of finding a small set of highly influential users in a
social network such that the spread of influence under certain propagation models is …

One of the fundamental issues in social networks is the influence maximization problem,
where the goal is to identify a small subset of individuals such that they can trigger the …

Online social networks have become an important platform for people to communicate,
share knowledge and disseminate information. Given the widespread usage of social …

The problem of influence maximization aims to specify the small number of initial individuals
that will eventually influence the individuals as much as possible, which has aroused wide …

We consider the problem of Influence Maximization (IM), the task of selecting k seed nodes
in a social network such that the expected number of nodes influenced is maximized. We …