Current Pre-Prints
Signed Networks: theory, methods, and applications. Diaz-Diaz, F., Candellone, E., González-Casado, M. A., Fraxanet, E., Vendeville, A., Ferri, I., & Teixeira, A. S. (2025). arXiv preprint arXiv:2511.17247.
Multilayer network science: theory, methods, and applications. Aleta, A., Teixeira, A. S., de Arruda, G. F., Baronchelli, A., Barrat, A., Kertész, J., … & Fortunato, S. (2025). arXiv preprint arXiv:2511.23371.
Assessment of Knowledge and Use of HIV Primary and Secondary Prevention Strategies in Portugal: A Scoping Review. Brázia, J., Wang, B., Meireles, P., Valdano, E., & Teixeira, A. S. (2025).
Comparing the Cost-Effectiveness of Alternative Policies for Recommending and Providing HIV Pre-exposure Prophylaxis to Men Who Have Sex With Men in the EU. Wang, B., Brazia, J., Teixeira, A. S., & Valdano, E. (2025). medRxiv, 2025-01
Concentration in Governance Control Across Decentralised Finance Protocols. Eisermann, T., Campajola, C., Tessone, C. J., & Teixeira, A. S. (2025). arXiv preprint arXiv:2501.13377..
2026
Dynamics of defensive and malicious worm co-propagation across networked systems. Teixeira, A. S., Echegoyen, I., Shanaz, R., & Aleta, A. (2026). Chaos, Solitons & Fractals, 202, 117589.
2025
Evidence of equilibrium dynamics in human social networks evolving in time. González-Casado, M. A., Teixeira, A. S., & Sánchez, A. (2025). Communications Physics, 8(1), 1-13.
Heterogeneity-and homophily-induced vulnerability of a P2P network formation model: the Mana based auto-peering protocol. Gao, Y., Campajola, C., Vallarano, N., Teixeira, A. S., & Tessone, C. J. (2025). Applied Network Science, 10(1), 62.
Cognitive Networks and Text Analysis Identify Anxiety as a Key Dimension of Distress in Genuine Suicide Notes. Stella, M., Swanson, T. J., Teixeira, A. S., Richson, B. N., Li, Y., Hills, T. T., … & Watson, D. (2025). Big Data and Cognitive Computing, 9(7), 171.
Focus on game theory and AI in complex systems. Han, T. A., Antonioni, A., & Teixeira, A. S. (2025). Journal of Physics: Complexity.
2024
Recommendations for sharing network data and materials. Neal, Z. P., Almquist, Z. W., Bagrow, J., Clauset, A., Diesner, J., Lazega, E., … & Teixeira, A. S. (2024). Network Science, 12(4), 404-417.
A multi-modal, asymmetric, weighted, and signed description of anatomical connectivity. Tanner, J., Faskowitz, J., Teixeira, A. S., Seguin, C., Coletta, L., Gozzi, A., … & Betzel, R. F. (2024). Nature Communications, 15(1), 5865.
Modeling a Rehab–Recovery–Relapse Cycle With Community Dependence via ODES. Bulai, I. M., & Teixeira, A. S. (2024). Journal of Biological Systems, 1-18.
Identifying subgroups in heart failure patients with multimorbidity by clustering and network analysis. Martins, C., Neves, B., Teixeira, A. S., Froes, M., Sarmento, P., Machado, J., … & Leite, F. (2024). BMC Medical Informatics and Decision Making, 24(1), 95.
2023
Polarization and multiscale structural balance in signed networks. Talaga, S., Stella, M., Swanson, T. J., & Teixeira, A. S. (2023). Communications Physics, 6(1), 349.
Using Markov chains and temporal alignment to identify clinical patterns in Dementia. Costa, L. M., Colaço, J., Carvalho, A. M., Vinga, S., & Teixeira, A. S. (2023). Journal of Biomedical Informatics, 140, 104328.
Embedding-aided network dismantling. Osat, S., Papadopoulos, F., Teixeira, A. S., & Radicchi, F. (2023). Physical Review Research, 5(1), 013076.
Community Structure in Transcriptional Regulatory Networks of Yeast Species. Cruz, F., Monteiro, P. T., & Teixeira, A. S. (2023, March). In International Workshop on Complex Networks (pp. 38-49). Cham: Springer Nature Switzerland.
Brain’s Dynamic Functional Organization with Simultaneous EEG-fMRI Networks. Ayres-Ribeiro, F., Wirsich, J., Abreu, R., Jorge, J., Teixeira, A. S., Francisco, A. P., & Figueiredo, P. (2023, March). In International Workshop on Complex Networks (pp. 1-13). Cham: Springer Nature Switzerland.
Complex Networks XIII: Proceedings of the 13th Conference on Complex Networks, CompleNet 2022. Pacheco, D., Teixeira, A. S., Barbosa, H., Menezes, R., & Mangioni, G. (Eds.). (2023). Springer Nature.
2022
Cognitive networks detect structural patterns and emotional complexity in suicide notes. Stella M., Swanson T.J., Li Y., Hills T.T. and Teixeira A. S. (2022) Front. Psychol. 13:917630. doi: 10.3389/fpsyg.2022.917630
Non-selective distribution of infectious disease prevention may outperform risk-based targeting. Steinegger, B., Iacopini, I., Teixeira, A. S., Bracci, A., Casanova-Ferrer, P., Antonioni, A., & Valdano, E. (2022). . Nature Communications, 13(1), 1-9.
Agent-based Modelling of Bitcoin Consensus without Block Rewards. Kraner, B., Li, S. N., Teixeira, A. S., & Tessone, C. J. (2022, August). In 2022 IEEE International Conference on Blockchain (Blockchain) (pp. 29-36). IEEE.
Transcriptional Regulatory Networks of Yeast Species. Dias, P., Monteiro, P. T., & Teixeira, A. S. (2022, February). Functional Characterization of In International Conference on Network Science (pp. 140-154). Springer, Cham.
2021
Revealing semantic and emotional structure of suicide notes with cognitive network science, by Teixeira, A. S., Talaga, S., Swanson, T. J., & Stella, M. (2021). Scientific reports, 11(1), 1-15.
Eliciting Fairness in N-Player Network Games through Degree-Based Role Assignment, by Teixeira, A. S., Santos, F. C., Francisco, A. P., & Santos, F. P. (2021). Complexity, 2021.
Complex Networks XII, by Teixeira, A. S., Pacheco, D., Oliveira, M., Barbosa, H., Gonçalves, B., & Menezes, R. ISBN: 978-3-030-81854-8
Eliciting fairness in multiplayer bargaining through network-based role assignment, by Teixeira, A. S., Santos, F. C., Francisco, A. P., and Santos, F. P. in Proc. of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), U. Endriss, A. Nowé, F. Dignum, A. Lomuscio (eds.), May 3-7, 2021, Extended Abstract, IFAAMAS (2021).
Dynamic expression of brain functional systems disclosed by fine-scale analysis of edge time series, by Sporns, O., Faskowitz, J., Teixeira, A. S., Cutts, S. A., & Betzel, R. F. (2021). Network Neuroscience, 5(2), 405-433.
2020
Semantic frame induction through the detection of communities of verbs and their arguments, by Ribeiro, E., Teixeira, A. S., Ribeiro, R., & de Matos, D. M. (2020). Applied Network Science, 5(1), 1-32.
The Metric Backbone in the Human Connectome and across Lifespan, by A.S. Teixeira, Joshua Faskowitz, Olaf Sporns, Luís M. Rocha. The 9th International Conference on Complex Networks and their Applications – Book of Abstracts, pp. 414 (978-2-9557050-4-9).
2019
Semantic Frame Induction as a Community Detection Problem, by Eugénio Ribeiro, Andreia Sofia Teixeira, Ricardo Ribeiro and David Martins de Matos, Complex Networks and Their Applications VIII. COMPLEX NETWORKS 2019. Studies in Computational Intelligence.
Modelling a Rehab-Recovery-Relapse Cycle, by Iulia Martina Bulai, Benjamin Ortiz and Andreia Sofia Teixeira, International Conference on Complex Networks and their Applications 2019 (extended abstract), Dec., 2019.
PhD Thesis – Complex networks analysis from an edge perspective, by Andreia Sofia Teixeira. Instituto Superior Técnico, Universidade de Lisboa.
2018
SpliceTAPyR – Efficient method for transcriptome alignment, by A. S. Teixeira, F. Fernandes, A. P. Francisco. International Journal of Foundations of Computer Science 29(08):1297-1310.
Fairness in multiplayer ultimatum games through degree-based role assignment, by A. S. Teixeira, F. C. Santos A, P. Francisco, and Fernando P. Santos in Proc. International Conference on Complex Networks and their Applications 2018 (extended abstract), Dec., 2018
Capturing Financial Volatility Through Simple Network Measures, by P. Souto, A. S. Teixeira, A. P. Francisco, F. C. Santos. Complex Networks and Their Applications VII. COMPLEX NETWORKS 2018. Studies in Computational Intelligence, vol 813. Springer, Cham.
Large-Scale Simulations of Bacterial Populations Over Complex Networks, by A. S. Teixeira, P. T. Monteiro, J. A. Carriço, F. C. Santos, A.P. Francisco. Journal of Computational Biology.
Linking and Cutting Spanning Trees, by L. M. Russo, A. S. Teixeira, A. P. Francisco. Algorithms 2018, 11, 53.
2017
Using Spark and GraphX to Parallelize Large-Scale Simulations of Bacterial Populations over Host Contact Networks., by Teixeira A.S., Monteiro P.T., Carriço J.A., Santos F.C., Francisco A.P. (2017) In: Ibrahim S., Choo KK., Yan Z., Pedrycz W. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2017. Lecture Notes in Computer Science, vol 10393. Springer, Cham.
Emergence of Social Balance in Signed Networks, by A.S. Teixeira, F. C. Santos and A. P. Francisco. In Complex Networks VIII. CompleNet 2017. Springer Proceedings in Complexity. Springer, Cham..
2016
Spanning edge betweenness in practice, by A.S. Teixeira, F. C. Santos and A. P. Francisco. In Complex Networks VII. Studies in Computational Intelligence, vol 644. Springer, Cham.
2015
Not Seeing the Forest for the Trees: Size of the Minimum Spanning Trees (MSTs) Forest and Branch Significance in MST-Based Phylogenetic Analysis, by A.S. Teixeira, P. T. Monteiro, J. A. Carriço, M. Ramirez, A. P. Francisco, PLoS One, 2015.
2014
Large scale simulation of bacterial population evolution over host contact networks, by A.S. Teixeira, V. Ribeiro, P. T. Monteiro, J. A. Carriço, M. Ramirez, A. P. Francisco, technical report published in INESC-ID (https://www.inesc-id.pt/ficheiros/publicacoes/10219.pdf).
2013
Spanning Edge Betweenness, by A.S. Teixeira, P. T. Monteiro, J. A. Carriço, M. Ramirez, A. P. Francisco, in 11th KDD’s Workshop on Mining and Learning with Graphs, 2013 (http://snap.stanford.edu/mlg2013/submissions/mlg2013_submission_14.pdf).