Social networks play a fundamental role in the diffusion of innovation through peers'
influence on adoption. Thus, network position including a wide range of network centrality …

The social influence maximization problem is an important research topic for many years
since it has a tremendous impact on society. As social influence can be maximized for many …

Influence maximization problem aims to select a subset of k most influential nodes from a
given network such that the spread of influence triggered by the seed set will be maximum …

A challenging issue in complex networks is to effectively identify a set of influential nodes.
Most previous studies typically neglect the propagation dynamic, the effects of the local …

Developing a computational method for discovering the most influential nodes in social
networks is a significant challenge that reveals an approach for maximizing the influence …

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 …

Identifying influential individuals in the dissemination of information is an important topic in
the study of social networks. Up to now, most of the previous works of Influence …

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 …

Influence maximization is a problem of identifying a small set of highly influential individuals
such that obtaining the maximum value of influence spread in social networks. How to …

The purpose of the influence maximization is to find the top k influential seeds which can
maximize the influence spread. Recently, some researchers address this problem through …