As a research hot topic in the field of network security, the implementation of machine
learning, such as federated learning, involves information interactions among a large …

In this paper, we explore the use of opinion dynamics models to examine changes in
opinions of lifelong learning, and to identify groups of people for targeted intervention to …

For a state or non-state actor whose credibility is bankrupt, relying on bots to conduct non-
attributable, non-accountable, and influence/information operations (info ops) that are …

Rumors can spread quickly and widely, causing negative impacts on both society and
individuals. Therefore, it is essential to prevent the propagation of rumors to maintain social …

Numerous real-world systems can be represented as complex networks of some sort. Mining
communities can aid in the analysis of the structural traits and functionalities of complex …

Purpose Under the background of coexistence of information overload and information
fragmentation, it is of great significance to identify influencing factors and reveal the …

It is proposed a model that makes use of the Entropy concept and the Jensen-Shannon
information divergence function to simulate computationally the dissemination of opinions …

This qualitative study examines the role of Ghanaian journalists in disseminating rumors,
misinformation, and disinformation during the Covid19 pandemic. Additionally, the study …

Amidst the rising prevalence of misleading information and the critical role of crisis
management in organizations, this dissertation explores effective response strategies and …

The openness and convenience of social media lead to disturbance or" noise" in the
network environment during the spreading of Internet rumors, which adds uncertainties to …