Test

In our latest paper, the findings of universal characteristics in political corruption networks allowed us to propose a model to simulate the growth of corruption networks. Among other results, our research revealed the prominent role of recidivist agents on corruption networks. For instance, we discover that recidivists act as bridges among minor corrupt groups and coordinate peripheral criminals to perform more extensive and often much more harmful corruption processes.

• Describe the model
• Display an interactive demonstration
• Present the algorithm of the model in Python

This interactive visualization was made using visjs, a browser based visualization library. The figures below show a visual comparison between simulated and empirical networks. Figure 1 is a simulation of the Brazilian corruption network using its recidivism rate, and Figure 2 shows the empirical network.