Conedy: a scientific tool to investigate Complex Network Dynamics
arXiv:1202.3074 · doi:10.1063/1.3685527
Abstract
We present Conedy, a performant scientific tool to numerically investigate dynamics on complex networks. Conedy allows to create networks and provides automatic code generation and compilation to ensure performant treatment of arbitrary node dynamics. Conedy can be interfaced via an internal script interpreter or via a Python module.
References in corpus (7)
- Synchronization in complex networks
- Recurrence networks - A novel paradigm for nonlinear time series analysis
- Noise bridges dynamical correlation and topology in coupled oscillator networks
- Collective oscillations in disordered neural networks
- How Chaotic is the Balanced State?
- Recurrent events of synchrony in complex networks of pulse-coupled oscillators
- Multistability, local pattern formation, and global collective firing in a small-world network of non-leaky integrate-and-fire neurons
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