Publikationen von Alex Rutherford

Zeitschriftenartikel (7)

2021
Zeitschriftenartikel
Avraam, D., Obradovich, N., Pescetelli, N., Cebrian, M., & Rutherford, A. (2021). The network limits of infectious disease control via occupation-based targeting. Scientific Reports, 11, Article 22855. https://doi.org/10.1038/s41598-021-02226-x
Zeitschriftenartikel
Bassett, J., Pescetelli, N., Rutherford, A., & Cebrian, M. (2021). Time-critical decentralised situational awareness in emergencies: An adversarial biosecurity scenario. Applied Network Science, 6, Article 59. https://doi.org/10.1007/s41109-021-00402-6
Zeitschriftenartikel
Ferreira, L. N., Hong, I., Rutherford, A., & Cebrian, M. (2021). The small-world network of global protests. Scientific Reports, 11, Article 19215. https://doi.org/10.1038/s41598-021-98628-y
Zeitschriftenartikel
Hong, I., Rutherford, A., & Cebrian, M. (2021). Social mobilization and polarization can create volatility in COVID‑19 pandemic control. Applied Network Science, 6, Article 11. https://doi.org/10.1007/s41109-021-00356-9
Zeitschriftenartikel
Moro, E., Frank, M. R., Pentland, A., Rutherford, A., Cebrian, M., & Rahwan, I. (2021). Universal resilience patterns in labor markets. Nature Communications, 12, Article 1972. https://doi.org/10.1038/s41467-021-22086-3
Zeitschriftenartikel
Pescetelli, N., Rutherford, A., & Rahwan, I. (2021). Modularity and composite diversity affect the collective gathering of information online. Nature Communications, 12, Article 3195. https://doi.org/10.1038/s41467-021-23424-1
Zeitschriftenartikel
Sarkadi, Ş., Rutherford, A., McBurney, P., Parsons, S., & Rahwan, I. (2021). The evolution of deception. Royal Society Open Science, 8, Article 201032. https://doi.org/10.1098/rsos.201032

Preprint (2)

2021
Preprint
Pescetelli, N., Reichert, P., & Rutherford, A. (2021). A variational-autoencoder approach to solve the hidden profile task in hybrid human-machine teams. PsyArXiv, 13 October 2021. https://doi.org/10.31234/osf.io/s67zf
2020
Preprint
Pescetelli, N., Rutherford, A., & Rahwan, I. (2020). Multi-trait diversity of online groups improves geo-political forecasting accuracy as a function of group size. PsyArXiv, 2 January 2020. https://doi.org/10.31234/osf.io/b8q2c
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