Classification results for project on noise added to networks (in development)


In a forthcoming paper, we created network models in which we added noise at a specific edge density threshold. For each threshold, we classified the graph models based on their Betti curves. All analyses and results will be described in a forthcoming paper (expected December 2020).

  • Hover over squares to see the number of times the corresponding true model was classified as the corrsponding predicted model.

  • Click on a square within the confusion matrix on the left to bring up the corresponding averaged Betti curves on the right.

  • Drag the slider on the right to see how changing the threshold parameter affects the classification results.