Flowbca: A Flow-Based Cluster Algorithm in Stata
Publication date
2018-09
Editors
Advisors
Supervisors
Document Type
Article
Metadata
Show full item recordCollections
License
taverne
Abstract
In this article, we introduce the Stata implementation of a flow-based cluster algorithm, flowbca, written in Mata. The main purpose of flowbca is to identify clusters based on relational data of flows. We illustrate the command by providing multiple examples of applications from the research fields of economic geography, industrial input–output analysis, and social network analysis.
Keywords
Taverne
Citation
Hassink, W H J 2018, 'Flowbca: A Flow-Based Cluster Algorithm in Stata', Stata Journal, vol. 18, no. 3. https://doi.org/10.1177/1536867x1801800305