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https://github.com/gbertagnolli/intsegration

R package for the evaluation of the (weighted, normalised) efficiency of network flows.
https://github.com/gbertagnolli/intsegration

efficiency network-analysis network-efficiency network-flows networks weighted-networks

Last synced: 12 days ago
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R package for the evaluation of the (weighted, normalised) efficiency of network flows.

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README

          

---
output: github_document
---

```{r, echo = FALSE, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/"
)
```

# intsegration

[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)

This package contains functions for computing indicators of segregation (`modularity`) and integration (the global communication efficiency, `GCE`) of single-layer complex networks.

## Installation

```{r eval = FALSE}
devtools::install_github("gbertagnolli/intsegration")
```

## References

Bertagnolli, G., Gallotti, R. and De Domenico, M. Quantifying efficient information exchange in real network flows. Commun Phys 4, 1–10 (2021). [doi: 10.1038/s42005-021-00612-5](http://www.nature.com/articles/s42005-021-00612-5) [arXiv:2003.11374](arxiv.org/abs/2003.11374).

Gallotti, Riccardo, Bertagnolli, Giulia and De Domenico, Manlio. "Unraveling the hidden organisation of urban systems and their mobility flows." EPJ Data Science 10.1 (2021): 1-17. [doi: 10.1140/epjds/s13688-020-00258-3](doi.org/10.1140/epjds/s13688-020-00258-3) [arxiv:1908.02538](https://arxiv.org/abs/1908.02538)