During his PhD studies, Péter Juhász researched stochastic network models that describe how complex systems emerge from random interactions. Such models are used to capture the …
We introduce a dynamic random hypergraph model constructed from a bipartite graph. In this model, both vertex sets of the bipartite graph are generated by marked Poisson point …
We investigate a dynamic random connection hypergraph model based on a bipartite connection structure, in which nodes and hyperedges are modeled by two independent marked Poisson …
In this talk, we examine the interaction graph of a novel bipartite spatial birth-death particle system characterized by long-range interactions and heavy-tailed degree …
Preferential attachment is a popular mechanism for generating scale-free networks. While it offers a compelling narrative, the underlying reinforced processes make it difficult to …
