Transfer entropy between communities in complex networks
arXiv:1706.05543 · doi:10.3390/e21111124
Abstract
With the help of transfer entropy, we analyze information flows between communities of complex networks. We show that the transfer entropy provides a coherent description of interactions between communities, including non-linear interactions. To put some flesh on the bare bones, we analyze transfer entropies between communities of five largest financial markets, represented as networks of interacting stocks. Additionally, we discuss information transfer of rare events, which is analyzed by Rényi transfer entropy.
References in corpus (8)
- Modularity and community structure in networks
- Maps of random walks on complex networks reveal community structure
- A tool for filtering information in complex systems
- Collective behavior of stock price movements in an emerging market
- Information flow between stock indices
- Structure of local interactions in complex financial dynamics
- The world according to Renyi: Thermodynamics of multifractal systems
- Rényi Information flow in the Ising model with single-spin dynamics