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Connectivity disruption sparks explosive epidemic spreading (2016)
Journal Article
Böttcher, L., Woolley-Meza, O., Goles, E., Helbing, D., & Herrmann, H. J. (2016). Connectivity disruption sparks explosive epidemic spreading. Physical Review E, 93(4), https://doi.org/10.1103/physreve.93.042315

We investigate the spread of an infection or other malfunction of cascading nature when a system component can recover only if it remains reachable from a functioning central component. We consider the susceptible-infected-susceptible model, typical... Read More about Connectivity disruption sparks explosive epidemic spreading.

Crisis in complex social systems: A social theory view illustrated with the chilean case (2016)
Journal Article
Mascareño, A., Goles, E., & Ruz, G. A. (2016). Crisis in complex social systems: A social theory view illustrated with the chilean case. Complexity, 21(S2), 13-23. https://doi.org/10.1002/cplx.21778

© 2016 Wiley Periodicals, Inc. The article argues that crises are a distinctive feature of complex social systems. A quest for connectivity of communication leads to increase systems' own robustness by constantly producing further connections. When s... Read More about Crisis in complex social systems: A social theory view illustrated with the chilean case.

Attractors, statistics and fluctuations of the dynamics of the Schelling’s model for social segregation (2015)
Journal Article
Zarama, R., Cortez, V., Goles, E., Medina, P., & Rica, S. (2015). Attractors, statistics and fluctuations of the dynamics of the Schelling’s model for social segregation. European Physical Journal B: Condensed Matter and Complex Systems, 88(1), https://doi.org/10.1140/epjb/e2014-50603-5

© 2015, EDP Sciences, SIF, Springer-Verlag Berlin Heidelberg. Statistical properties, fluctuations and probabilistic arguments are shown to explain the robust dynamics of the Schelling’s social segregation model. With the aid of probability density f... Read More about Attractors, statistics and fluctuations of the dynamics of the Schelling’s model for social segregation.

Neutral space analysis for a Boolean network model of the fission yeast cell cycle network (2014)
Journal Article
Barrera, J., Ruz, G. A., Timmermann, T., & Goles, E. (2014). Neutral space analysis for a Boolean network model of the fission yeast cell cycle network. Biological Research, 47(1), https://doi.org/10.1186/0717-6287-47-64

Background Interactions between genes and their products give rise to complex circuits known as gene regulatory networks (GRN) that enable cells to process information and respond to external stimuli. Several important processes for life, depend of... Read More about Neutral space analysis for a Boolean network model of the fission yeast cell cycle network.

Computational complexity of threshold automata networks under different updating schemes (2014)
Journal Article
Goles, E., & Montealegre, P. (2014). Computational complexity of threshold automata networks under different updating schemes. Theoretical Computer Science, 559, 3-19. https://doi.org/10.1016/j.tcs.2014.09.010

© 2014 Elsevier B.V. Given a threshold automata network, as well as an updating scheme over its vertices, we study the computational complexity associated with the prediction of the future state of a vertex. More precisely, we analyze two classes of... Read More about Computational complexity of threshold automata networks under different updating schemes.

Dynamical and topological robustness of the mammalian cell cycle network: A reverse engineering approach (2013)
Journal Article
Ruz, G. A., Goles, E., Montalva, M., & Fogel, G. B. (2014). Dynamical and topological robustness of the mammalian cell cycle network: A reverse engineering approach. BioSystems, 115(1), 23-32. https://doi.org/10.1016/j.biosystems.2013.10.007

A common gene regulatory network model is the threshold Boolean network, used for example to model the Arabidopsis thaliana floral morphogenesis network or the fission yeast cell cycle network. In this paper, we analyze a logical model of the mammali... Read More about Dynamical and topological robustness of the mammalian cell cycle network: A reverse engineering approach.