The goal of influence maximization (IM) is to find a set of nodes that maximize their influence
spread over a social network. IM is a widely used model for information propagation in social …

Influence maximization (IM) has been extensively studied in network science, which
attempts to find a subset of users to maximize the influence spread. A new variant of IM, fair …

Influence maximization is the problem of finding a set of seed nodes in the network that
maximizes the influence spread, which has become an important topic in social network …

Influence maximization has found applications in a wide range of real-world problems, for
instance, viral marketing of products in an online social network, and propagation of …

Given a graph $ G $, a community structure $\mathcal {C} $, and a budget $ k $, the fair
influence maximization problem aims to select a seed set $ S $($| S|\leq k $) that maximizes …

The influence maximization problem (IMP) has been one of the most attractive topics in the
field of social networks. However, sometimes fairness in IMP should be considered …

The influence maximization paradigm has been used by researchers in various fields in
order to study how information spreads in social networks. While previously the attention …

Fairness in influence maximization has been a very active research topic recently. Most
works in this context study the question of how to find seeding strategies (deterministic or …

In social influence analysis, viral marketing, and other fields, the influence maximization
problem is a fundamental one with critical applications and has attracted many researchers …

Group plays an important role in social society. Much of the world's decision or work is done
by groups and teams. A group's decision should be made based on most of the members in …