Software and Data

R package fastCorrDiff for fast differential matrix screening: GitHub version (v0.5); CRAN version (v0.5).

R package netcoh for Statistical models with network cohesion: GitHub version (v0.35).

R package randnet for Random Network Estimation, Model Selection and Parameter Tuning: GitHub version (v0.7); CRAN version (v0.7)

R package HCD for Hierarchical community detection: GitHub version (v1.0); CRAN version (v1.0) 

R package hmgm on CRAN for High-dimensional mixed graphical model estimation.

R package NetworkReg for Regression Model on Network-Linked Data with Statistical Inference: GitHub version (v1.0); CRAN version (v1.0) 

The non-overlapping statistical approximation to overlapping group lasso. [Code]

Fitting Low-rank Models on Egocentrically Sampled Partial Networks: [R Code]

Diffusion Source Identification on Networks with Statistical Confidence: [Python library]

Informative core identification in complex networks: [R Code]. The R package netcoh with a better implementation is available on CRAN. 

High-dimensional Gaussian graphical model on network-linked data: [R Code]

Hierarchical community detection by recursive partitioning: [R Code]. The R package HCD with a better implementation is available on CRAN.

Network cross-validation by edge sampling: [R code]. The method ECV and many related model selection methods mentioned in the paper are also implemented in the R package randnet.

Regression with network cohesion: [R code]. The R package netcoh with a better implementation is available on CRAN.

High dimensional mixed graphical models: [Matlab code], [R package hmgm].

DAG Wishart model selection : [R code] for paper High dimensional Bayesian inference for Gaussian directed acyclic graph models.

Statistician coauthorship network with title term frequencies. The data is extracted from Ji and Jin (2016) and used as an example of our paper about Gaussian graphical model on network-linked data. [Data]

Statistician citation network with research interests. The citation network is extracted from Ji and Jin (2016) while we added research interests for a larger proportion of statisticians in our paper on hierarchical community detection. [Data]

United Nation Voting Networks. [Data ]