Hypergraphs have attracted increasing attention in recent years thanks to their flexibility in
naturally modeling a broad range of systems where high-order relationships exist among …

Influence maximization (IM) has shown wide applicability in immense fields over the past
decades. Previous researches on IM mainly focused on the dyadic relationship but lacked …

Contagion phenomena are often the results of multibody interactions—such as
superspreading events or social reinforcement—describable as hypergraphs. We develop …

Academic performance prediction is a fundamental and hot issue in educational data mining
(EDM). Recently, researchers have proposed a series of effective machine learning (ML) …

Scalable addressing of high-dimensional constrained combinatorial optimization problems
is a challenge that arises in several science and engineering disciplines. Recent work …

This work deals with a generalization of the minimum Target Set Selection (TSS) problem, a
key algorithmic question in information diffusion research due to its potential commercial …

Malware posts an increasing threat to the security of cyberspace, given the growing
popularity of wireless networks. In this article, we propose a hypergraph-based model to …

Mobile CrowdSensing (MCS) has emerged as a novel paradigm for performing large-scale
sensing tasks. Many incentive mechanisms have been proposed to encourage user …

In recent years, online social media has flourished, and a large amount of information has
spread through social platforms, changing the way in which people access information. The …

Influence Maximization (IM) has promising applications in social network marketing and has
been extensively researched over the past years. However, previous IM studies mainly focus …