PREPRINTS
JOURNAL ARTICLES
PEER-REVIEWED CONFERENCE PROCEEDINGS
BOOK CHAPTERS
PUBLIC OUTREACH ARTICLES
- Z. Kmetty, A. Stefkovics, J. Szamely, D. Deng, K. Aniko, E. Paul, E. Omodei, J. Koltai. 2023. Determinants of willingness to donate data from social media platforms. OSF Preprints. doi:10.31219/osf.io/ncwkt
- R. Prieto-Curiel, O. Ali, E. Dervic, F. Karimi, E. Omodei, R. Stütz, G. Heiler, Y. Holovatch. 2023. The diaspora model for human migration. ArXiv Preprint. doi:10.48550/arXiv.2309.03070
JOURNAL ARTICLES
- E. Omodei, D. Kim, M. Garcia-Herranz, V. Sekara. 2023. Are Machine Learning, AI, and Big Data Tools Ready to be Used for Sustainable Development? Challenges and limitations of current approaches. Frontiers in Big Data 6, 1301903
- E. Omodei. 2023. Using computational tools to monitor and improve access to quality food and water. Nature Computational Science 3 (9), 726-728
- L. Gautheron, E. Omodei. 2023. How research programs come apart: the example of supersymmetry and the disunity of physics.Quantitative Science Studies 4 (3), 671–699
- S. Fiandrino, C. Dowd, G. Martini, Y. Mejova, E. Omodei, D. Paolotti, M. Tizzoni. 2023. Impact of food-related conflicts on self-reported food insecurity. Frontiers in Sustainable Food Systems, Volume 7, 1239992
- P. Foini, M. Tizzoni, G. Martini, D. Paolotti, E. Omodei. 2023. On the forecastability of food insecurity. Scientific Reports, 13, 2793
- G. Martini, A. Bracci, L. Riches, S. Jaiswal, M. Corea, J. Rivers, A. Husain, E. Omodei. 2022. Machine learning can guide food security efforts when primary data are not available. Nature Food, 3, 716–728
- E. Omodei, M. Garcia-Herranz, D. Paolotti, M. Tizzoni. 2022. Complex Systems for the Most Vulnerable. Journal of Physics: Complexity 3, 021001
- R.J. Oidtman, E. Omodei, M.U.G. Kraemer, et al. 2021. Trade-offs between individual and ensemble forecasts of an emerging infectious disease. Nature Communications 12, 5379
- E. Omodei, A. Arenas. 2018. A network approach to decentralized coordination of energy production-consumption grids. PLoS One, 13(1): e0191495
- E. Omodei, M.E. Brashears, A. Arenas. 2017. A mechanistic model of human recall of social network structure and relationship affect. Scientific Reports, 7 17133
- E. Omodei, M. De Domenico, A. Arenas. 2017. Evaluating the impact of interdisciplinary research: A multilayer network approach. Network Science, 5(2), 235-246
- M. De Domenico, E. Omodei, A. Arenas. 2016. Quantifying the diaspora of knowledge in the last century. Applied Network Science, 1 15
- E. Omodei, A. Arenas. 2016. Untangling the role of diverse social dimensions in the diffusion of microfinance. Applied Network Science, 1 14
- D. Darmon*, E. Omodei*, J. Garland*. 2015. Followers are not enough: a multifaceted approach to community detection in online social networks. PLoS One, 10(8): e0134860. *These authors contributed equally to this work
- E. Omodei, M. De Domenico, A. Arenas. 2015. Characterizing interactions in online social networks during exceptional events. Frontiers in Physics, 3:59
- M. De Domenico, A. Solé-Ribalta, E. Omodei, S. Gómez, A. Arenas. 2015. Ranking in interconnected multilayer networks reveals versatile nodes. Nature Communications, 6 6868
- E. Omodei, A. Bazzani, S. Rambaldi, P. Michieletto, B. Giorgini. 2014. The physics of the city: pedestrians dynamics and crowding panic equation in Venezia. Quality & Quantity, 48 1
PEER-REVIEWED CONFERENCE PROCEEDINGS
- E. Omodei, Y. Guo, J.-P. Cointet, T. Poibeau. 2014. Social and semantic diversity: Socio-semantic representation of a scientific corpus. In Proceedings of the 8th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH), pp. 71-79
- E. Omodei, J.-P. Cointet, T. Poibeau. 2014. Reconstructing the Semantic Landscape of Natural Language Processing. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC), pp. 2972-2978
- E. Omodei, T. Poibeau, J.-P. Cointet. 2012. Multi-level Modeling of Quotation Families Morphogenesis. In Proceedings of the International Conference on Social Computing, Amsterdam, pp. 392-401
BOOK CHAPTERS
- V. Sekara*, E. Omodei*, L. Healy, J. Beise, C. Hansen, D. You, S. Blume, M. Garcia-Herranz. 2019. Mobile Phone Data for Children on the Move: Challenges and Opportunities. In A. Salah, A. Pentland, B. Lepri, E. Letouzé (eds) Guide to Mobile Data Analytics in Refugee Scenarios. Springer. *These authors contributed equally to this work
- S. Gómez, M. De Domenico, A. Solé-Ribalta, E. Omodei, A. Arenas. 2018. Multilayer Networks. In Multiplex and Multilevel Networks. Oxford University Press
PUBLIC OUTREACH ARTICLES
- E. Omodei, M. Garcia-Herranz. 2019. Complex Systems for the Most Vulnerable. UNICEF Website
- E. Omodei, I. Dotu, M. Garcia-Herranz, S. Aldighieri, E. Perez, C. Schneider, P. Nájera Hamrick, J. Kim, T. Dorji, A. Rivière Cinnamond. 2019. Exploring Machine Learning to Map Yellow Fever Risk. UNICEF Website