Throughout the last two decades, complex systems have been modeled as complex
networks by capturing pairwise interactions. However, as research has progressed, it has …

In modern systems, from brain neural networks to social group networks, pairwise
interactions are not sufficient to express higher-order relationships. The smallest unit of their …

Rumors have been widespread with the development of self-media, which has brought new
challenges to government departments in dealing with rumor management. Considering the …

In recent years, prior research on information propagation has considered individual
relationships on social network as binary but ignored individual intimacy heterogeneity …

In recent years, as the COVID-19 global pandemic evolves, many unprecedented new
patterns of epidemic transmission continue to emerge. Reducing the impact of negative …

Because of its broad real-life application, community detection (in the realm of a complex
network) is an attractive challenge to many researchers. However, current methods fail to …

The spreading process of information on complex networks has been widely explored. In
fact, different individuals in a network usually hold different standards for information …

Abstract Information propagation and control have great significance to manage public
opinion in social networks. This paper aims to establish a novel information propagation …

The spread of disease on complex networks has attracted wide attention in physics,
mathematics, and epidemiology. Recent works have demonstrated that individuals always …

Due to the differences in society stratum, personal profession, and social acceptability,
information propagation can be impacted by the contact capabilities of individuals …