Replication Data for: Flow stability for dynamic community detection

This repository contain all the codes and scripts necessary to reproduce the results of the article Bovet, A., Delvenne, J.-C. and Lambiotte, R. (2022) ‘Flow stability for dynamic community detection’, Science Advances, 8(19), p. eabj3063. Available at: https://doi.org/10.1126/sciadv.abj3063. The results of the flow stability applied to the empirical datasets in the article are stored in JSON files in data. The dataset of the primary school contact network can be downloaded at http://www.sociopatterns.org/datasets/. The dataset of the wild mice contact network can be downloaded at http://doi.org/10.5281/zenodo.4725155. Processed data for the APS dataset is stored in data/aps and the original data can be found at https://journals.aps.org/datasets. The scripts to reproduce the results based on these datasets are in scripts

本代码仓库包含复现Bovet、Delvenne J.-C.与Lambiotte R.于2022年发表于《Science Advances》（《科学进展》）的论文《Flow stability for dynamic community detection》（《动态社区检测的流稳定性》）所需的全部代码与脚本，该论文刊于第8卷第19期，文章编号为eabj3063，官方链接为https://doi.org/10.1126/sciadv.abj3063。本文中应用于各类实证数据集的流稳定性（Flow stability）分析结果，均存储于data目录下的JSON文件中。小学接触网络数据集可从http://www.sociopatterns.org/datasets/ 下载获取；野生小鼠接触网络数据集可从http://doi.org/10.5281/zenodo.4725155 下载获取。APS数据集的预处理数据存储于data/aps目录，其原始数据可于https://journals.aps.org/datasets 获取。基于上述数据集复现研究结果的脚本均存放于scripts目录中。