All of the generative network models I'm working with now (preferential attachment, random, small world, and Pareto degree sequence) have either 1 or 2 parameters. As a sanity check, it should be possible to try grid search instead of SMC to estimate these on simulated networks.
All of the generative network models I'm working with now (preferential attachment, random, small world, and Pareto degree sequence) have either 1 or 2 parameters. As a sanity check, it should be possible to try grid search instead of SMC to estimate these on simulated networks.