One model to rule them all in network science?
Times cited: 18
Guimera, R.
Proc. Natl. Acad. Sci. USA
117 (41)
,
25195-25197
(2020).
In a way, it seems, progress in network science is about finding free lunches—model families that can express the features of real-world networks, that we can explore systematically, and that we can refine as new patterns are uncovered to improve their predictive performance.
