Replication Data and Code for: Human-Network Regions as Effective Geographic Units for Disease Mitigation

This repository contains code and partial data for replicating the work performed in "Human-Network Regions as Effective Geographic Units for Disease Mitigation" as well as an online resource for interacting with regional boundaries. Please contact corresponding author Clio Andris for assistance with implementing code. CountyFIPS_Communities.csv: This dataset contains community detection results for each U.S. county in the Conterminous U.S., where the community detection methods divide counties into separate groups (i.e., clusters). There are five different input networks (Commuters, Facebook relationships, Migrants, GPS-based trips and Twitter co-mentions). The different methods were selected using the igraph package in R. A Q statistic is reported for each network/method combination.<br><br>Migrants_Commuters.csv: This dataset is an undirected edgelist of counties in the U.S. weighted by number of migrants and number of commuters between the counties. Each county is given using a FIPS number. ConsensusRegions_Webtool.txt: Lists the website for our online webtool.R Code (Steps 1 - 4): This is the R code used to import, clean, and analyze the data.<br>