Recursos de colección

ARCA - Access to Research and Communication Annals - IGC Repository (980 recursos)

The Institutional Repository of Instituto Gulbenkian de Ciência, developed under the project RCAAP, is intended to collect, preserve and promote open access to the intellectual production of their researchers.

Complex Adaptive Systems and Computational Biology

Mostrando recursos 1 - 3 de 3

1. Author Correction: Human Sexual Cycles are Driven by Culture and Match Collective Moods

   Wood, Ian B.; Varela, Pedro L.; Bollen, Johan; Rocha, Luis M.; Gonçalves-Sá, Joana
   This deposit is composed simultaneously by the original published article and also by the "correction" for the published article (erratum).
   - 08-mar-2018

2. Control of complex networks requires both structure and dynamics

   Alexander J. Gates; Luis M. Rocha
   The study of network structure has uncovered signatures of the organization of complex systems. However, there is also a need to understand how to control them; for example, identifying strategies to revert a diseased cell to a healthy state, or a mature cell to a pluripotent state. Two recent methodologies suggest that the controllability of complex systems can be predicted solely from the graph of interactions between variables, without considering their dynamics: structural controllability and minimum dominating sets. We demonstrate that such structure-only methods fail to characterize controllability when dynamics are introduced. We study Boolean network ensembles of network motifs as well as three models of biochemical regulation: the segment...
   - 28-abr-2016

3. Modularity and the spread of perturbations in complex dynamical systems

   Kolchinsky, Artemy; Gates, Alexander J.; Rocha, Luis M.
   We propose a method to decompose dynamical systems based on the idea that modules constrain the spread of perturbations. We find partitions of system variables that maximize 'perturbation modularity', defined as the autocovariance of coarse-grained perturbed trajectories. The measure effectively separates the fast intramodular from the slow intermodular dynamics of perturbation spreading (in this respect, it is a generalization of the 'Markov stability' method of network community detection). Our approach captures variation of modular organization across different system states, time scales, and in response to different kinds of perturbations: aspects of modularity which are all relevant to real-world dynamical systems. It offers a principled alternative to detecting communities in networks...
   - 21-ene-2016