Peel, L., & Schaub, M. T. (2024). Detectability of hierarchical communities in networks. Physical Review E, 110(3), Article 034306. https://doi.org/10.1103/PhysRevE.110.034306
Schaub, M. T., Li, J., & Peel, L. (2023). Hierarchical community structure in networks. Physical Review E, 107(5), Article 054305. https://doi.org/10.1103/PhysRevE.107.054305
Peel, L., Peixoto, T. P., & De Domenico, M. (2022). Statistical inference links data and theory in network science. Nature Communications, 13(1), Article 6794. https://doi.org/10.1038/s41467-022-34267-9
Cinelli, M., Peel, L., Iovanella, A., & Delvenne, J.-C. (2020). Network constraints on the mixing patterns of binary node metadata. Physical Review E, 102(6), Article 062310. https://doi.org/10.1103/PhysRevE.102.062310
Hoffmann, T., Peel, L., Lambiotte, R., & Jones, N. S. (2020). Community detection in networks without observing edges. Science advances, 6(4), Article 1478. https://doi.org/10.1126/sciadv.aav1478
Antonioni, A., Martinez-Vaquero, L. A., Mathis, C., Peel, L., & Stella, M. (2019). Individual perception dynamics in drunk games. Physical Review E, 99(5), Article 052311. https://doi.org/10.1103/PhysRevE.99.052311
Cinelli, M., Peel, L., Iovanella, A., & Delvenne, J.-C. (2019). Network constraints on the mixing patterns of binary node metadata. Cornell University - arXiv. https://doi.org/10.48550/arXiv.1908.04588
Aguilar-Rodriguez, J., Peel, L., Stella, M., Wagner, A., & Payne, J. L. (2018). The architecture of an empirical genotype-phenotype map. Evolution, 72(6), 1242-1260. https://doi.org/10.1111/evo.13487
Peel, L., Delvenne, J.-C., & Lambiotte, R. (2018). Multiscale mixing patterns in networks. Proceedings of the National Academy of Sciences of the United States of America, 115(16), 4057-4062. https://doi.org/10.1073/pnas.1713019115