Data

Tools

Indexes

Applications

Experiments

Open Source Science

PAFit

PAFit source

https://github.com/thongphamthe/pafit

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (16.3%) to scientific vocabulary

Keywords

complex-networks cran fit-get-richer general-preferential-attachment minorize-maximization preferential-attachment r rich-get-richer scale-free temporal-networks
Last synced: 6 months ago · JSON representation

Repository

PAFit source

Basic Info
Statistics
  • Stars: 17
  • Watchers: 3
  • Forks: 1
  • Open Issues: 1
  • Releases: 0
Topics
complex-networks cran fit-get-richer general-preferential-attachment minorize-maximization preferential-attachment r rich-get-richer scale-free temporal-networks
Created about 9 years ago · Last pushed almost 2 years ago
Metadata Files
Readme

README.md

PAFit package

Downloads from CRAN Downloads from CRAN CRAN License: GPL v3

This package provides a framework for modelling and inferencing attachment mechanisms of temporal complex networks. The two main functionalities of the package are: * Estimating preferential attachment (PA) and fitness when the growth process can be observed. This is when one can observe the temporal network at at least two time-steps. For estimating the PA function in isolation, we implement Jeong's method, the corrected Newman's method and the PAFit method. For jointly estimating the PA function and node fitnesses, we implement the PAFit method. * Estimating PA from only one snapshot of the temporal network. We implement the PAFit-oneshot method for estimating the PA function from one single snapshot.

In addition, the package can quantify the remaining uncertainties by providing confidence intervals for the estimated results. We also provide flexible methods to generate a wide range of temporal networks based on PA and fitness.

Installation

The release version of the package is hosted on CRAN and can be installed in the usual way: r install.packages("PAFit")

This dev version on GitHub can be installed as follows: r require(devtools) install_github("thongphamthe/PAFit@devel")

Getting started

To get started, load the package r library("PAFit") then work through the tutorial (link to the current CRAN version):

A version of this tutorial is published in Journal of Statistical Software: * JSS paper

The PAFit-oneshot method is described in this paper.

Reference manual

Please refer to the current version on CRAN:

You can view the html version, which has a better layout but renders mathematical symbols worse than the pdf version, if you use Rstudio

NEWS

Please refer to the current version on CRAN:

Citation

Please refer to the citation information file (link to the current CRAN version):

License

GPL-3

Other information

  • If you have any suggestions or find bugs, please use the github issue tracker
  • Feel free to submit pull requests

Owner

  • Name: Pham The Thong
  • Login: thongphamthe
  • Kind: user
  • Location: Hikone, Japan
  • Company: Shiga University

GitHub Events

Total
Last Year

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 183
  • Total Committers: 2
  • Avg Commits per committer: 91.5
  • Development Distribution Score (DDS): 0.005
Past Year
  • Commits: 2
  • Committers: 1
  • Avg Commits per committer: 2.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Pham The Thong t****e@g****m 182
Dirk Eddelbuettel e****d@d****g 1
Committer Domains (Top 20 + Academic)
debian.org: 1

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 3
  • Total pull requests: 1
  • Average time to close issues: over 1 year
  • Average time to close pull requests: 6 days
  • Total issue authors: 3
  • Total pull request authors: 1
  • Average comments per issue: 2.67
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • ghost (1)
  • ph-preux (1)
  • eglantine-coder (1)
Pull Request Authors
  • eddelbuettel (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 198 last-month
  • Total docker downloads: 21,777
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 32
  • Total maintainers: 1
cran.r-project.org: PAFit

Generative Mechanism Estimation in Temporal Complex Networks

  • Versions: 32
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 198 Last month
  • Docker Downloads: 21,777
Rankings
Docker downloads count: 12.6%
Stargazers count: 13.7%
Forks count: 21.0%
Average: 21.1%
Dependent repos count: 23.9%
Downloads: 26.6%
Dependent packages count: 28.7%
Maintainers (1)
thongphamthe@gmail.com
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • R >= 2.10.0 depends
  • MASS * imports
  • RColorBrewer * imports
  • Rcpp >= 0.11.3 imports
  • VGAM * imports
  • ggplot2 * imports
  • grDevices * imports
  • graphics * imports
  • igraph * imports
  • knitr * imports
  • magicaxis * imports
  • mapproj * imports
  • methods * imports
  • network * imports
  • networkDynamic * imports
  • plyr * imports
  • stats * imports
  • R.rsp * suggests