Understanding the relationship between network features and
misinformation propagation is crucial for mitigating the spread of false
information. This study examines how network density affects the dissemination of hoax news using an SIR (Susceptible-Infectious-Recovered)
framework. Our findings show that increased network density ...
Understanding the relationship between network features and
misinformation propagation is crucial for mitigating the spread of false
information. This study examines how network density affects the dissemination of hoax news using an SIR (Susceptible-Infectious-Recovered)
framework. Our findings show that increased network density leads to
more believers in misinformation, with the number of believers rising
higher among more gullible individuals. In segregated networks, denser
clusters have a higher proportion of believers, regardless of group gullibility parity. As an important result, a dense minority can significantly
amplify belief percentages within majority groups, highlighting the substantial impact of minority structure on majority dynamics.
