15 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.SI2026
Component structure and percolation in block models
Riccardo Franchi, M. E. J. Newman
The stochastic block model is a widely studied model of community structure in networks. Here we study the component structure and percolation properties of networks generated from…
q-bio.QM2025
Drug-disease networks and drug repurposing
Austin Polanco, M. E. J. Newman
Repurposing existing drugs to treat new diseases is a cost-effective alternative to de novo drug development, but there are millions of potential drug-disease combinations to be co…
cs.SI2023★ 15 cited
Hierarchical core-periphery structure in networks
Austin Polanco, M. E. J. Newman
We study core-periphery structure in networks using inference methods based on a flexible network model that allows for traditional onion-like cores within cores, but also for hier…