flowbca:: A flow-based cluster algorithm in Stata
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Publication date
2018-09-20
Authors
Meekes, Jordy
Hassink, Wolter
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Document Type
Article
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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
flowbca, clusters, aggregation, flows, regions, industries, economic geography, input-output analysis, social network analysis, Taverne, A Journal
Citation
Meekes, J & Hassink, W H J 2018, 'flowbca: A flow-based cluster algorithm in Stata', Stata Journal, vol. 18, no. 3, pp. 564-584. < https://www.stata-journal.com/article.html?article=st0535 >