The influence maximization (IM) problem identifies the subset of influential users in the
network to provide solutions for real-world problems like outbreak detection, viral marketing …

Social influence analysis (SIA) is a vast research field that has attracted research interest in
many areas. In this paper, we present a survey of representative and state-of-the-art work in …

The identification of spreading influence nodes in social networks, which studies how to
detect important individuals in human society, has attracted increasing attention from …

Influence maximization (im) is the problem of finding a small subset of nodes (seed nodes)
in a social network that could maximize the spread of influence. Despite the progress …

State-of-the-art classical influence maximization (IM) techniques are" competition-unaware"
as they assume that a group (company) finds seeds (users) in a network independent of …

Several approaches focus on how to automatically capture the latent features from original
diffusion data and predict the future scale of cascades utilizing a black box framework …

The influence maximization problem in a large-scale social network is to identify a few
influential users such that their influence on the other users in the network is maximized …

In this paper, we study the location‐aware targeted influence maximization problem in social
networks, which finds a seed set to maximize the influence spread over the targeted users …

Conformity is the inclination of a person to be influenced by others. In this paper, we study
how the conformity tendency of a person changes with her role, as defined by her structural …

The rapid growth in popularity of online social networks provides new opportunities in
computer science, sociology, math, information studies, biology, business, and more. Social …