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In every simulation, we generated a dataset of observations based on a simulated network and then applied different network inference algorithms to determine whether the algorithms successfully recovered complex relationships between data variables.
Every simulation considered at least 1800 simulation turns, corresponding to 10 minutes of simulated time.
We simulated these early stages by using a stochastic model for which every simulation is different.
At every simulation point, 1,000 iterations were run.
This implies that every simulation will not suffer grid dispersion.
These four components are fundamental to every simulation.
For every simulation, a proportion of all peers is randomly allocated for each position.
Every simulation function is an R-function that satisfies ((varrho_{3})).
It schedules events and updates the states of modules every simulation cycle.
In every simulation step, each agent will independently play both games with every neighbor.
Every simulation function is an R-function that also verifies ((varrho_{3})).
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