This repository contains the code employed in our project on success of firms and investors in venture capital markets.
See:
- Esposito, C., Gortan, M., Testa, L., Chiaromonte, F., Fagiolo, G., Mina, A., Rossetti, G., Venture capital investments through the lens of network and functional data analysis, Applied Network Science 7, 42 (2022);
- Esposito, C., Gortan, M., Testa, L., Chiaromonte, F., Fagiolo, G., Mina, A., Rossetti, G., Can You Always Reap What You Sow? Network and Functional Data Analysis of Venture Capital Investments in Health-Tech Companies, Proceedings of the 10th International Conference on Complex Networks and Their Applications (2021).
Data employed in our papers cannot be freely shared. Nevertheless, we are happy to share our scripts. The repository contains the following files:
- Analysis.ipynb, which contains most of the regression and clustering analysis;
- BonaventuraMethod.ipynb, which contains the method proposed by Bonaventura et al. (2020) applied on our data;
- NetworkFormation.ipynb, which describes how we have built our networks;
- NetworkPlot.ipynb, which replicates Figure 1 in Esposito et al. (2022).
Finally, the folder "networks" contains all the network snapshots produced in our analysis.