HIGHLIGHTS
SUMMARY
That is, structural similarity has a stronger predictive power than the exact nearby neighbors of a node, or a node`s role in a network may be more relevant than who their peers are for a disease outbreak outcome. The features used for prediction may consider either nodes with common neighbors to be similar, obtained through inward exploration, or nodes surrounded by an equivalent structure of neighbors to be similar, obtained through outward exploration (see "Methods" section). In the best settings of parameters (i.e., high p and low q), the resulting network structure . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.