Publications

Computational social science:

1. Falkenberg, M., Galeazzi, A., Torricelli, M., Di Marco, N., Larosa, F., Sas, M., Mekacher, A., Pearce, W., Zollo, F., Quattrociocchi, W. and Baronchelli, A. Growing climate polarisation on social media. Nature Climate Change (2022). LINK

2. Torricelli, M., Falkenberg, M., Galeazzi, A., Zollo, F., Quattrociocchi, W., and Baronchelli, A. How does extreme weather impact the climate change discourse? Insights from the Twitter discussion on hurricanes." PLOS Climate (2023). LINK

3. Mekacher, A., Falkenberg, M., and Baronchelli, A. The systemic impact of deplatforming on social media. PNAS Nexus (2023). LINK

4. Falkenberg, M., Zollo, F., Quattrociocchi, W., Pfeffer, J., Baronchelli, A. Affective and interactional polarization align across countries. arXiv preprint arXiv:2311.18535. (2023). Preprint

5. Mekacher, A., Falkenberg, M., and Baronchelli, A. The Koo Dataset: An Indian Microblogging Platform With Global Ambitions. (Forthcoming) ICWSM. (2024). Preprint

Climate finance:

1. Rickman, J., Falkenberg, M., Kothari, S., Larosa, F., Grubb, M., and Ameli, N. The systemic challenge of phasing out fossil fuel finance. ResearchSquare (2023). Preprint

2. Ameli, N., Chenet, H., Falkenberg, M., Kothari, S., Rickman, J., and Lamperti, F. Driving sustainability transitions through financial tipping points. The Global Tipping Points Report (2023). LINK

Network science:

1. Falkenberg, M., Lee, J.H., Amano, S.I., Ogawa, K.I., Yano, K., Miyake, Y., Evans, T.S. and Christensen, K. Identifying time dependence in network growth. Physical Review Research, 2(2), 023352 (2020). LINK

2. Falkenberg, M. Heterogeneous node copying from hidden network structure. Communications Physics 4, 200 (2021). LINK

Computational cardiology:

1. Falkenberg McGillivray, M., Cheng, W., Peters, N.S. and Christensen, K. Machine learning methods for locating re-entrant drivers from electrograms in a model of atrial fibrillation. Royal Society open science, 5(4), 172434 (2018). LINK

2. Falkenberg, M., Hickey, D., Terrill, L., Ciacci, A., Peters, N.S. and Christensen, K. Identifying Potential Re-Entrant Circuit Locations From Atrial Fibre Maps. In 2019 Computing in Cardiology (CinC), IEEE (2019). LINK

3. Falkenberg, M., Ford, A.J., Li, A.C., Lawrence, R., Ciacci, A., Peters, N.S. and Christensen, K. Unified mechanism of local drivers in a percolation model of atrial fibrillation. Physical Review E, 100(6), 062406, (2019). LINK

4. Ciacci, A., Falkenberg, M., Manani, K.A., Evans, T.S., Peters, N.S. and Christensen, K. Understanding the transition from paroxysmal to persistent atrial fibrillation. Physical review research, 2(2), 023311, (2020). LINK

5. Rajpal, H., Sas, M., Lockwood, C., Joakim, R., Peters, N.S. and Falkenberg, M. Interpretable XGBoost Based Classification of 12-lead ECGs Applying Information Theory Measures From Neuroscience. In 2020 Computing in Cardiology (CinC), IEEE (2020). LINK

6. Falkenberg, M., Coleman, J.A., Dobson, S., Hickey, D.J., Terrill, L., Ciacci, A., Thomas, B., Peters, N.S., Sau, A., Ng, F.S., Zhao, J. and Christensen, K. Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps. bioRxiv (2021). LINK

Insect biology:

1.  Franks, N.R., Worley, A., Falkenberg, M., Sendova-Franks, A.B. and Christensen, K. Digging the optimum pit: antlions, spirals and spontaneous stratification. Proceedings of the Royal Society B, 286(1899), 20190365 (2019). LINK