Redes y Sistemas Complejos

Redes y Sistemas Complejos · 2026-1

Literatura del curso

Bibliografía organizada por unidad. La monografía es el texto conductor; los libros y artículos clave de las clases y notebooks se integran donde aportan mejor al tema de la semana.

Texto base Lecturas obligatorias Complementarias
Nota
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Los enlaces priorizan DOI, páginas oficiales, arXiv, versiones de autores o libros abiertos. Para versiones editoriales cerradas, usa acceso institucional o buscadores académicos.

Texto principal

Monografía del curso - Redes y Sistemas Complejos
Candia, C. (2026). Apuntes de curso. Cubre fundamentos, bipartitas, centralidades, modelos, mesoestructura, procesos, inferencia, evaluación y ética.
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Lecturas por unidad

papers, libros y recursos abiertos por tema
U1 · Fundamentos Obligatoria
1
Network Science
Barabási, A.-L. (2016). Cambridge University Press.
2
Networks
Newman, M. E. J. (2018). Oxford University Press. Texto de consulta general.
U2 · Bipartitas Obligatoria
1
Basic notions for the analysis of large two-mode networks
Latapy, M., Magnien, C., & Del Vecchio, N. (2008). Social Networks, 30(1), 31-48.
2
The strength of weak ties
Granovetter, M. S. (1973). American Journal of Sociology, 78(6), 1360-1380.
U3 · Métricas y features Complementaria
1
The structure and function of complex networks
Newman, M. E. J. (2003). SIAM Review, 45(2), 167-256.
2
Scientific collaboration networks. I. Network construction and fundamental results
Newman, M. E. J. (2001). Physical Review E, 64(1), 016131.
3
Centrality in social networks: Conceptual clarification
Freeman, L. C. (1978). Social Networks, 1(3), 215-239.
4
The PageRank citation ranking: Bringing order to the web
Page, L., Brin, S., Motwani, R., & Winograd, T. (1999). Stanford InfoLab.
U4 · Modelos y baselines Obligatoria
1
Emergence of scaling in random networks
Barabási, A.-L., & Albert, R. (1999). Science, 286(5439), 509-512.
2
Collective dynamics of small-world networks
Watts, D. J., & Strogatz, S. H. (1998). Nature, 393, 440-442.
3
Random graphs with arbitrary degree distributions and their applications
Newman, M. E. J., Strogatz, S. H., & Watts, D. J. (2001). Physical Review E, 64(2), 026118.
4
Null model analysis of species co-occurrence patterns
Gotelli, N. J. (2000). Ecology, 81(9), 2606-2621.
5
Characterization of the firm-firm public procurement co-bidding network from the State of Ceará municipalities
Lyra, M. S., Curado, A., Damásio, B., Bação, F., & Pinheiro, F. L. (2021). Applied Network Science, 6, 77.
6
Jaccard/Tanimoto similarity test and estimation methods for biological presence-absence data
Chung, N. C., Miasojedow, B., Startek, M., & Gambin, A. (2019). BMC Bioinformatics, 20, 644. Referencia metodológica para similitud binaria y Jaccard centrado.
U5 · Mesoestructura Obligatoria
1
Modularity and community structure in networks
Newman, M. E. J. (2006). PNAS, 103(23), 8577-8582.
2
Models of core/periphery structures
Borgatti, S. P., & Everett, M. G. (2000). Social Networks, 21(4), 375-395.
3
Fast unfolding of communities in large networks
Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008). Journal of Statistical Mechanics, P10008.
4
From Louvain to Leiden: guaranteeing well-connected communities
Traag, V. A., Waltman, L., & van Eck, N. J. (2019). Scientific Reports, 9, 5233.
U6 · Procesos en redes Obligatoria
1
Spread of epidemic disease on networks
Newman, M. E. J. (2002). Physical Review E, 66(1), 016128.
2
Identification of influential spreaders in complex networks
Kitsak, M., et al. (2010). Nature Physics, 6, 888-893.
3
Epidemic spreading in scale-free networks
Pastor-Satorras, R., & Vespignani, A. (2001). Physical Review Letters, 86(14), 3200-3203.
4
Epidemic processes in complex networks
Pastor-Satorras, R., Castellano, C., Van Mieghem, P., & Vespignani, A. (2015). Reviews of Modern Physics, 87, 925-979.
U7 · Inferencia y evaluación Complementaria
1
The link-prediction problem for social networks
Liben-Nowell, D., & Kleinberg, J. (2007). JASIST, 58(7), 1019-1031.
2
De-anonymizing social networks
Narayanan, A., & Shmatikov, V. (2009). IEEE Symposium on Security and Privacy.
3
Pitfalls of graph neural network evaluation
Shchur, O., Mumme, M., Bojchevski, A., & Günnemann, S. (2018). Relational Representation Learning Workshop, NeurIPS.
U8 · Graph ML Complementaria
1
DeepWalk: Online learning of social representations
Perozzi, B., Al-Rfou, R., & Skiena, S. (2014). KDD '14.
2
node2vec: Scalable feature learning for networks
Grover, A., & Leskovec, J. (2016). KDD '16.
3
Semi-supervised classification with graph convolutional networks
Kipf, T. N., & Welling, M. (2017). ICLR 2017.
4
Inductive representation learning on large graphs
Hamilton, W. L., Ying, R., & Leskovec, J. (2017). NeurIPS 2017.
5
Graph attention networks
Veličković, P., et al. (2018). ICLR 2018.
6
A fair comparison of graph neural networks for graph classification
Errica, F., Podda, M., Bacciu, D., & Micheli, A. (2020). ICLR 2020.

Referencia transversal

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Networks, Crowds, and Markets
Easley, D., & Kleinberg, J. (2010). Cambridge University Press. Perspectiva social, económica y computacional.
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