Our research includes:
- Mental Health and Well-Being
- Mining Biomedical Literature
- Mining Health Records
- Modeling Biochemical Networks
- Bio-inspired Computing
- Agent-Based Modeling
- Knowledge Networks & Web Intelligence
- Science of Science
- Artificial Intelligence and Machine Learning
- Natural language Processing
- Evolutionary Systems
- Network Dynamics
- Redundancy in Complex Systems
- Socio-Economic Modeling
- Social Media Mining
- Collective intelligence and Culturomics
Recent publications
- Gates, A., R.B. Correia, X. Wang, and L.M. Rocha (2021). "The effective graph reveals redundancy, canalization, and control pathways in biochemical regulation and signaling". Proceedings of the National Academy of Sciences. 118 (12) e2022598118; DOI: 10.1073/pnas.2022598118.
- Simas, T., R.B Correia and L.M. Rocha (2021). The distance backbone of complex networks. arXiv:2103.04668.
- Manicka, S., M. Marques-Pita, and L.M. Rocha (2021). Effective connectivity determines the critical dynamics of biochemical networks. arXiv:2101.08111
- Benito, R.M., Cherifi, C., Cherifi, H., Moro E., Rocha, L.M., Sales-Pardo, M. (Eds.) (2021). Complex Networks and Their Applications IX:. Proceedings The 9th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020. Studies in Computational Intelligence Series. Vol. 943-944. Springer. DOI: 10.1007/978-3-030-65347-7 and 10.1007/978-3-030-65351-4. (Two Volumes
- A. Min, W. Miller, L.M. Rocha, K.Börner, R.B. Correia, and P.C. Shih. (2021). "Just In Time: Challenges and Opportunities of First Aid Care Information Sharing for Supporting Epileptic Seizure Response". Proceedings of the ACM on Human-Computer Interaction.. 5, CSCW1, Article 113, pp. 1-24. DOI:10.1145/3449187.
- L.M. Rocha (2020). Privacy apocalypse or data science for the common good? Preparing Western Nations for Pandemics to Come . Towards data science . November 22, 2020.
- R.B. Correia, I.B Wood, J. Bollen, L.M. Rocha (2020). "Mining social media data for biomedical signals and health-related behavior". Annual Review of Biomedical Data Science . 3(1). DOI: 10.1146/annurev-biodatasci-030320-040844.
- Bathina, K. C., Thij, M. T., Lorenzo-Luaces, L., Rutter, L. A., & Bollen, J. (2020). Depressed individuals express more distorted thinking on social media. arXiv preprint arXiv:2002.02800. https://doi.org/10.1038/s41562-021-01050-7
- Valdez, D., Ten Thij, M., Bathina, K., Rutter, L. A., & Bollen, J. (2020). Social-media insights into US mental health amid the COVID-19 global pandemic: a Longitudinal analysis of publicly available Twitter data (January 22-April 10, 2020). Journal of Medical Internet Research. https://www.jmir.org/2020/12/e21418/
- Ten Thij, M., Bathina, K., Rutter, L. A., Lorenzo-Luaces, L., van de Leemput, I. A., Scheffer, M., & Bollen, J. (2020). Depression alters the circadian pattern of online activity. Scientific reports, 10(1), 1-10. https://rdcu.be/b8vzU & doi.org/10.1038/s41598-020-7431
- R.B. Correia, L.P. de Araújo, M.M. Mattos, L.M. Rocha (2019). City-wide Analysis of Electronic Health Records Reveals Gender and Age Biases in the Administration of Known Drug-Drug Interactions. NPJ Digital Medicine. 2:74.
- H.-Y. Wu, A. Shendre, S. Zhang, P. Zhang, L. Wang, D. Zeruesenay, L.M. Rocha, H. Shatkay, S. Quinney, X. Ning, and L. Li (2019). Translational Knowledge Discovery between Drug Interactions and Pharmacogenetics. Clinical Pharmacology & Therapeutics . 2019 Dec 21. doi: 10.1002/cpt.1745.
- Fan, R., Varol, O., Varamesh, A., Barron, A., van de Leemput, I. A., Scheffer, M., & Bollen, J. (2019). The minute-scale dynamics of online emotions reveal the effects of affect labeling. Nature Human Behaviour, 3(1), 92-100. https://search.proquest.com/openview/2da453baabf0c1c43faa7b5049471f48/1.pdf?pq-origsite=gscholar&cbl=4560800
- Bollen, J. (2018). Who would you share your funding with? Nature, 560 (7717), 143-144. https://www.nature.com/articles/d41586-018-05887-3, doi: 10.1038/d41586-018-05887-3
- Elejalde, E., Ferres, L., Herder, E., & Bollen, J. (2018). Quantifying the ecological diversity and health of online news. Journal of computational science, 27, 218-226. https://www.sciencedirect.com/science/article/pii/S1877750317311870
- Wood, I. B., Varela, P. L., Bollen, J., Rocha, L. M., & Gonçalves-Sá, J. (2017). Human sexual cycles are driven by culture and match collective moods. Scientific reports, 7(1), 1-11. https://www.nature.com/articles/s41598-017-18262-5
- Bollen, J., Gonçalves, B., van de Leemput, I., & Ruan, G. (2017). The happiness paradox: your friends are happier than you. EPJ Data Science, 6(1), 4. https://link.springer.com/article/10.1140/epjds/s13688-017-0100-1
- Bollen, J., Crandall, D., Junk, D., Ding, Y., & Börner, K. (2017). An efficient system to fund science: from proposal review to peer-to-peer distributions. Scientometrics, 110(1), 521-528. https://link.springer.com/content/pdf/10.1007/s11192-016-2110-3.pdf
- A. Gates and L.M. Rocha. (2016) "Control of complex networks requires both structure and dynamics." Scientific Reports 6, 24456. doi: 10.1038/srep24456.
Rodriguez, N., Bollen, J., & Ahn, Y. Y. (2016). Collective dynamics of belief evolution under cognitive coherence and social conformity. PLoS one, 11(11), e0165910. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0165910 - G.L. Ciampaglia, P. Shiralkar, L.M. Rocha, J. Bollen, F. Menczer, A. Flammini (2015). “Computational fact checking from knowledge networks.” PLoS One. 10(6): e0128193. doi:10.1371/journal.pone.0128193.
See the funders who make this research possible.