NetGrowLib

NetGrowLib is an R package providing a collection of network growth models and tools for analyzing their degree distributions.
It implements classical models (Barabási–Albert, CHKNS, age-biased “Darknet”) as well as exploratory clustered variants, with utilities for log/linear binning, empirical degree distributions, and visualization.

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Features

• Generative models

  • Barabási–Albert (BA) preferential attachment
  • Callaway–Hopcroft–Kleinberg–Newman–Strogatz (CHKNS) random growth
  • Age-biased attachment (“Darknet” style)
  • Clustered attachment model (local-neighborhood + preferential/age bias)

• Distribution analysis

  • Linear and logarithmic binning (linbin, expbin)
  • Empirical degree distributions (getLinDistribution, getLogDistribution)
  • Quick plotting of log–log distributions with fitted slope (plotLogDistribution)

• Theoretical tools

  • Analytical degree evolution formula for BA (get_ki)

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Installation

Clone the repository and install locally:

# from within R
devtools::install_local("path/to/NetGrowLib")

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Usage

See the file in the scripts section.

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Documentation

All functions are documented with roxygen2.
Run:

devtools::document()
?name_function

to explore the help pages.

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License

MIT License © 2025

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Maintainer

Developed and maintained by CoMuNeLab.