We study synthetic temporal networks whose evolution is determined by stochastically
evolving node variables-synthetic analogues of, eg, temporal proximity networks of mobile …

We extend a recent model of temporal random hyperbolic graphs by allowing connections
and disconnections to persist across network snapshots with different probabilities ω 1 and …

Many real-world networks change over time. Think, for example, of social interactions, gene
activation in a cell, or strategy making in financial markets, where connections and …