bcdc

https://github.com/aaamini/bcdc

Science Score: 67.0%

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CITATION.cff file
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DOI references
Found 2 DOI reference(s) in README
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Academic publication links
Links to: zenodo.org
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Scientific vocabulary similarity
Low similarity (5.4%) to scientific vocabulary

Last synced: 10 months ago · JSON representation ·

Repository

Basic Info

Host: GitHub
Owner: aaamini
Language: C++
Default Branch: master
Size: 7.4 MB

Statistics

Stars: 4
Watchers: 2
Forks: 0
Open Issues: 0
Releases: 2

Created over 4 years ago · Last pushed over 2 years ago

Metadata Files

Readme Citation

README.md

The BCDC model

3/16/24 Update: BCDC is in press: - Shen, Luyi, Amini, Arash, Josephs, Nathaniel, and Lizhen Lin. "Bayesian community detection for networks with covariates." (2024). Bayesian Analysis

10/21/22 Update: There is now an R package bcdc. To install it use: r devtools::install_github("aaamini/bcdc/bcdc_package")

This repository contains code supporting the following paper: - Bayesian community detection for networks with covariates

For the basic usage of the model see basic_usage.R.

Owner

Name: Arash A. Amini
Login: aaamini
Kind: user
Company: @ucla

Website: http://www.stat.ucla.edu/~arashamini
Repositories: 4
Profile: https://github.com/aaamini

Citation (CITATION.cff)

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: >-
  BCDC model for community detection with node
  covariates 
message: >-
  Please cite the paper "Bayesian Community Detection
  For Networks With Covariates"
type: software
authors:
  - given-names: Luyi
    family-names: Shen
    email: lshen4@nd.edu
    affiliation: University of Notre Dame
  - given-names: Arash A.
    family-names: Amini
    email: aaamini@ucla.edu
    affiliation: UCLA
    orcid: 'https://orcid.org/0000-0002-2808-8310'
  - given-names: Nathaniel 
    family-names: Josephs
    affiliation: Yale School of Public Health
    email: nathaniel.josephs@yale.edu
  - given-names: Lizhen
    family-names: Lin
    email: lizhen.lin@nd.edu
    affiliation: University of Notre Dame
doi: 
date-released: 2022-3-2
url: "https://github.com/aaamini/covar-sbm"

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