flowbca: A flow-based cluster algorithm in Stata

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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.
Original languageEnglish
Pages (from-to)564-584
JournalStata Journal
Issue number3
Publication statusPublished - 20 Sept 2018


  • flowbca
  • clusters
  • aggregation
  • flows
  • regions
  • industries
  • economic geography
  • input-output analysis
  • social network analysis


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