Research into network dynamics of spreading processes typically employs both discrete and
continuous time methodologies. Although each approach offers distinct insights, integrating …

The outbreak of coronavirus disease 2019 (COVID-19) threatens the health and safety of all
humanity. This disease has a prominent feature: the presymptomatic and asymptomatic viral …

Coupled propagation dynamics based on complex networks have received widespread
attention in recent years. This work reviews the research work related to coupling …

The COVID-19 pandemic was caused by severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2), which is a single-stranded positive-stranded RNA virus with a high multi …

As restrictive interventions implemented by the government are lifted, the self-initiated
behavioral responses have become fundamental for long-term coping with the epidemic …

The correlation between an individual's activity level and the propagation of behavior is
inherently intertwined on a social platform. Simultaneously, individuals with varying activity …

The outbreak of an epidemic often stimulates the generation of public awareness about
epidemic prevention. This heightened awareness encourages individuals to take proactive …

Disease is a serious threat to human society. Understanding the characteristics of disease
transmission is helpful for people to effectively control disease. In real life, it is natural to take …

The mutual influence between information and infectious diseases during the spreading
process is becoming increasingly prominent. To elucidate the impact of factors such as …

Identifying influential nodes in complex networks is a crucial and challenging research issue
in network science. Most existing algorithms rely on static characteristics of networks and …