Generating Temporal Contact Graphs Using Random Walkers
A.D. Almasan (TU Delft - Network Architectures and Services)
Sergey Shvydun (TU Delft - Network Architectures and Services)
Ingo Scholtes (University of Würzburg)
P. Van van Mieghem (TU Delft - Network Architectures and Services)
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Abstract
We study human mobility networks through timeseries of contacts between individuals. Our proposed Random Walkers Induced temporal Graph (RWIG) model generates temporal graph sequences based on independent random walkers that traverse an underlying graph in discrete time steps. Co-location of walkers at a given node and time defines an individual-level contact. RWIG is shown to be a realistic model for temporal human contact graphs, which may place RWIG on a same footing as the Erdos-Renyi (ER) and Barabasi-Albert (BA) models for fixed graphs. Moreover, RWIG is analytically feasible: we derive closed form solutions for the probability distribution of contact graphs.