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

The flow of information through active users in online social networks (OSNs) plays a major
role in forming natural social groups, popularly known as communities. Although structural …

One important task in the study of information cascade is to predict the future recipients of a
message given its past spreading trajectory. While the network structure serves as the …

Selecting seed nodes (most influential nodes) in networks has attracted attention due to
seed nodes' ability to influence and spread information. Seed nodes are essential to …

The problem of influence maximization is a classic issue that has been well-studied in the
field of network science, but most of existing researches are compromising among …

Influence maximization (IM) is a challenge in social networks, which depends on the
spreader selection. We propose a quadratic programming model to identify a fixed number …

Computing influential nodes gets a lot of attention from many researchers for information
spreading in complex networks. It has vast applications, such as viral marketing, social …

Abstract Information diffusion is an important and attractive field of research in the area of
social network analysis, and is at the heart of many studies and applications of knowledge …

Influence maximization problem is to select a set of influential nodes and maximize the
influence spread of the seed set in the social networks. Greedy strategies are high time …

Influence maximization problem has been extensively studied in recent years. It aims at
finding a seed set consisting of vertices from a network, so that their collective influence …