Influence maximization in a social network focuses on the task of extracting a small set of
nodes from a network which can maximize the propagation in a cascade model. Though …

Influence maximization is to extract a small set of nodes from a social network which
influences the propagation maximally under a cascade model. In this paper, we propose a …

This article focused on seeking a new heuristic algorithm for the influence maximization
problem in complex social networks, in which a small subset of individuals are intentionally …

This paper focused on seeking a new heuristic algorithm for the influence maximization
problem in complex social network, that is, how to effectively select a subset of individuals to …

The main purpose in influence maximization, which is motivated by the idea of viral
marketing in social networks, is to find a subset of key users that maximize influence spread …

Given a social graph, the problem of influence maximization is to determine a set of nodes
that maximizes the spread of influences. While some recent research has studied the …

Influence maximization aims to identify a small set of influential individuals in a social
network capable of spreading influence to the most users. This problem has received wide …

Influence maximization is a classic optimization problem studied in the area of social
network analysis and viral marketing. Given a network, it is defined as the problem of finding …

Influence maximization in social networks is a classic and extensively studied problem that
targets at selecting a set of initial seed nodes to spread the influence as widely as possible …

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 …