In recent years, evolutionary multi-objective based community detection algorithms are
widely used in attribute networks, but such algorithms usually ignore the attributes between …

Influence maximization in social networks is the problem of finding a set of seed nodes in the
network that maximizes the spread of influence under certain information prorogation model …

Clients demand more services and better results as cloud computing expand quickly. As a
result, the load balance management component in cloud computing systems should be …

The problem of maximizing the spread of influence by selecting a subset of participants in a
social network as sources, known as influence maximization, is a fruitful topic with …

Influence maximization (IM) problem in social network analysis aims to select a set of the
most influential users that can maximize the influence spread in a network. The existing …

Influence maximization aims to extract a k-size seed node set to get a maximum influence
spread under a specific propagation model which is a popular research topic in viral …