Can Scale-Free Networks Explain the Spread of Specific Diseases?
Several studies have demonstrated the relevance of scale-free network models in explaining the transmission patterns of various diseases. For example, the rapid global spread of COVID-19 can be partly explained by air travel networks, which are scale-free in nature. Similarly, sexually transmitted infections like HIV often spread through networks with a few individuals having a disproportionately high number of sexual partners.
