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 …

Influence Maximization (IM), which aims to select a set of users from a social network to
maximize the expected number of influenced users, is an evergreen hot research topic. Its …

Influence maximization is a recent but well-studied problem which helps identify a small set
of users that are most likely to “influence” the maximum number of users in a social network …

With the explosion of GPS-enabled smartphones and social media platforms, geo-social
networks are increasing as tools for businesses to promote their products or services …

Abstract Online Social Networks (OSNs) have been used as the means for a variety of
applications. For example, social networking platform has been used in employment system …

We introduce the problem of maximizing approximately κ-submodular functions subject to
size constraints. In this problem, one seeks to select κ-disjoint subsets of a ground set with …

In recent years, studies in many fields have widely explored diffusion in social networks,
which refers to the collective behavior of a set of autonomous social actors who interact with …

Background The process of rumor spreading among people can be represented as
information diffusion in social network. The scale of rumor spread changes greatly …

Influence maximization (IM) has been widely studied in recent years. Given fixed number of
seed users and certain diffusion models, the IM problem aims to select proper seed users in …

Influence maximization (IM) in social networks has attracted a wide variety of studies
motivated by applications like spread of ideas or innovations in a network and viral …