Code for "Sampling networks by nodal attributes"

This repository contains a set of codes for the following paper.

Y. Murase, H.-H. Jo, J. Török, J. Kertész, Kimmo Kaski "Sampling networks by nodal attributes".

Preprint is available on arXiv:1902.04707

Prerequisites

The following python packages are needed.

A Pipfile is available to install these packages. Here is an instruction to launch jupyter notebook.

$ pipenv install
$ pipenv shell
$ jupyter notebook

In addition to the jupyter notebooks, C++ codes for simulation are also included in this repository.

Name		Name	Last commit message	Last commit date
Latest commit History 71 Commits
ensemble_averaging @ 7b9a7fd		ensemble_averaging @ 7b9a7fd
sim_power_mean_sampling @ 1ebb0d4		sim_power_mean_sampling @ 1ebb0d4
sim_result		sim_result
stoch_block_sampling		stoch_block_sampling
vector_attribute_sampling		vector_attribute_sampling
.gitignore		.gitignore
.gitmodules		.gitmodules
Fig2_CompareTheorySimulation.ipynb		Fig2_CompareTheorySimulation.ipynb
Fig3_OrgNetDependency.ipynb		Fig3_OrgNetDependency.ipynb
Fig4_OrgnetDependencyLognormal.ipynb		Fig4_OrgnetDependencyLognormal.ipynb
Fig5_VectorAttribute.ipynb		Fig5_VectorAttribute.ipynb
Fig6_SBM_CorrelatedH.ipynb		Fig6_SBM_CorrelatedH.ipynb
LICENSE		LICENSE
Pipfile		Pipfile
Pipfile.lock		Pipfile.lock
README.md		README.md