Jamming and correlation patterns in traffic of information on sparse modular networks |
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Authors: | B?Tadi? M?Mitrovi? |
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Institution: | 1.Department for Theoretical Physics,Jo?ef Stefan Institute,Ljubljana,Slovenia;2.Scientific Computing Laboratory, Institute of Physics,Belgrade,Serbia |
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Abstract: | We study high-density traffic of information packets on sparse modular networks with scale-free subgraphs. With different
statistical measures we distinguish between the free flow and congested regime and point out the role of modules in the jamming
transition. We further consider correlations between traffic signals collected at each node in the network. The correlation
matrix between pairs of signals reflects the network modularity in the eigenvalue spectrum and the structure of eigenvectors.
The internal structure of the modules has an important role in the diffusion dynamics, leading to enhanced correlations between
the modular hubs, which can not be filtered out by standard methods. Implications for the analysis of real networks with unknown
modular structure are discussed. |
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Keywords: | |
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