Data Cloud Geometry (DCG): Using Random Walks to Find Community Structure in Social Network Analysis
Overview
Data cloud geometry (DCG) applies random walks in finding community structures for social networks. Fushing, VanderWaal, McCowan, & Koehl (2013) (doi:10.1371/journal.pone.0056259).
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 11
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 75%
- Documented parameters
- 100%
- Return-value docs
- 88%
- Help pages citing references
- 45%
- Introduction to DCG HTML
Downloads
Dependencies
Installing DCG adds no packages beyond those that come with R.
Code & Tests
Datasets
People & History
Previously maintained by Jian Jin (0.9.2).
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.9.3Latest
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- 0.9.22016-06-08
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2016-06-08
- Total releases
- 2 / 10 yrs
- License
- GPL (>= 2) OSI
- Copyright
- Fushing Lab & McCowan Lab, University of California, Davis
- Minimum R
- ≥ 2.14.0
- Bundled data
- 1.9 KB / 1 file
- Download size
- 330 KB
Cite
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Run in R for the authors' preferred citation:
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