9 citations · 16 across the 6 of their papers we have counts for
6 papers
Interval parking functions
Emma Colaric, Ryan DeMuse, Jeremy L. Martin +1
Interval parking functions (IPFs) are a generalization of ordinary parking functions in which each car is willing to park only in a fixed interval of spaces. Each interval parking…
Dimension reduction in vertex-weighted exponential random graphs
Ryan DeMuse, Mei Yin
We investigate the behavior of vertex-weighted exponential random graphs. We show that vertex-weighted exponential random graphs with edge weights induced by products of independen…
Extremal Behavior in Exponential Random Graphs
Ryan DeMuse
Yin, Rinaldo, and Fadnavis classified the extremal behavior of the edge-triangle exponential random graph model by first taking the network size to infinity, then the parameters di…
Mixing Time of Vertex-Weighted Exponential Random Graphs
Ryan DeMuse, Terry Easlick, Mei Yin
Exponential random graph models have become increasingly important in the study of modern networks ranging from social networks, economic networks, to biological networks. They see…
Phase Transitions in Edge-Weighted Exponential Random Graphs: Near-Degeneracy and Universality
Ryan DeMuse, Danielle Larcomb, Mei Yin
Conventionally used exponential random graphs cannot directly model weighted networks as the underlying probability space consists of simple graphs only. Since many substantively i…
Phase transitions in edge-weighted exponential random graphs
Mei Yin
The exponential family of random graphs represents an important and challenging class of network models. Despite their flexibility, conventionally used exponential random graphs ha…