Corpus ID: 227248165

Random walk patterns to identify weighted motifs

@article{Picciolo2020RandomWP,
  title={Random walk patterns to identify weighted motifs},
  author={F. Picciolo and Franco Ruzzenenti and Rossana Mastrandrea},
  journal={arXiv: Physics and Society},
  year={2020}
}
Over the last two decades, network theory has shown to be a fruitful paradigm in understanding the organization and functioning of real complex systems. Particularly relevant in this sense appears the identification of significant subgraphs that can shed light onto the underlying evolutionary processes. Such patterns, called motifs, have received much attention in binary networks, but a similar deep investigation for weighted networks is still lagging behind. Here, we proposed a novel… Expand

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