Influence maximization is the process of identifying a small set of influential nodes from a
complex network to maximize the number of activation nodes. Due to the critical issues such …

Population migration is a critical component of large-scale spatiotemporal models of
infectious disease transmission. Identifying the most influential spreaders in networks is vital …

Multi-objective key entity identification problems have attracted the attention of researchers
due to their potential real-world applications, which single-objective approaches simply …

Identifying influential users in online social networks, specifically Twitter, has drawn
considerable research interest due to their profound influence on real-world events. Existing …

Synergistic contagion in a networked system occurs in various forms in nature and human
society. While the influence of network's structural heterogeneity on synergistic contagion …

The COVID-19 pandemic has caused significant disruptions to the daily lives of individuals
worldwide, with many losing their lives to the virus. Vaccination has been identified as a …

Identifying the key nodes in complicated networks is an essential topic. A number of
methods have been developed in recent years to solve this issue more effectively. Multi …

Identifying influential nodes has drawn great attention in recent years. In this paper, a novel
method for identifying influential spreaders based on potential edge weights (WDK for …

The advent of smart terminals and the IOT era has prompted the emergence of the multiplex
network system. With the rapid information transmission in multiplex networks, security …

On social media platforms, high-impact disseminators act as fixed sources of crucial news,
consistently affecting information dissemination. Throughout the process of repeated …