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oddnet  

Anomaly Detection in Temporal Networks
View on CRAN: Click here


Download and install oddnet package within the R console
Install from CRAN:
install.packages("oddnet")

Install from Github:
library("remotes")
install_github("cran/oddnet")

Install by package version:
library("remotes")
install_version("oddnet", "0.1.1")



Attach the package and use:
library("oddnet")
Maintained by
Sevvandi Kandanaarachchi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-12-22
Latest Update: 2024-02-11
Description:
Anomaly detection in dynamic, temporal networks. The package 'oddnet' uses a feature-based method to identify anomalies. First, it computes many features for each network. Then it models the features using time series methods. Using time series residuals it detects anomalies. This way, the temporal dependencies are accounted for when identifying anomalies (Kandanaarachchi, Hyndman 2022) .
How to cite:
Sevvandi Kandanaarachchi (2022). oddnet: Anomaly Detection in Temporal Networks. R package version 0.1.1, https://cran.r-project.org/web/packages/oddnet. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:36), 0.1.0 (2022-12-22 21:10)
Other packages that cited oddnet R package
View oddnet citation profile
Other R packages that oddnet depends, imports, suggests or enhances
Complete documentation for oddnet
Functions, R codes and Examples using the oddnet R package
Some associated functions: anomalous_networks . compute_features . lad . oddnet-package . tensorsplat . 
Some associated R codes: anomaly_detection.R . features.R . laplacian_eigenvalue_method.R . oddnet.R . tensorsplat.R . utils.R .  Full oddnet package functions and examples
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