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Author Archives: jzelner
Programming Dynamic Models in Python-Part 3: Outbreak on a Network
In this post, we will continue building on the basic models we discussed in the first and second tutorials. If you haven’t had a chance to take a look at them yet, definitely go back and at least skim them, … Continue reading
Posted in Uncategorized
Tagged agent based models, network analysis, python, social epidemiology
3 Comments
Programming Dynamic Models in Python: Coding Efficient Dynamic Models
In the next few tutorials, we’re going to transition to exploring how to model dynamics on a network. The first tutorial was a bit of a blockbuster length-wise because there was a lot of ground to cover to get the … Continue reading
Posted in Uncategorized
Tagged computational social science, Dynamic Models, network analysis, python, social epidemiology
1 Comment
Programming Dynamic Models in Python
In this series of tutorials, we are going to focus on the theory and implementation of transmission models in some kind of population. In epidemiology, it is common to model the transmission of a pathogen from one person to another. … Continue reading
Posted in Uncategorized
Tagged computational social science, Dynamic Models, network analysis, python, social epidemiology
7 Comments
