The application of artificial intelligence in everyday life is becoming all-pervasive and
unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired …

In recent years, designing fairness-aware methods has received much attention in various
domains, including machine learning, natural language processing, and information …

Refugees or immigrants who arrive in new countries often feel isolated. In this work, we
examine how a resource-bounded public entity can make recommendations to increase …

The Influence Maximization (IM) problem seeks to discover the set of nodes in a graph that
can spread the information propagation at most. This problem is known to be NP-hard, and it …

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 …

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 …

In today's digital age, the widespread dissemination of information through social media
platforms has a profound impact on people's thoughts and actions. It fosters lively …