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Global networks in collaborative programming

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  • Fabian Braesemann
  • Niklas Stoehr
  • Mark Graham

Abstract

To understand the dynamics of the digital knowledge economy, it is crucial to reveal the geography of global flows of knowledge on digital platforms. This article visualizes a key form of knowledge production in the digital economy: mapping the joint collaborations of users from different cities on Stack Overflow, the world’s most popular question-and-answer website for programming questions. The network map reveals that users from only a limited number of places are actively taking part in the exchange of programming knowledge. While Stack Overflow access and participation are theoretically unrestricted, contributions are clustered in metropolitan regions in North America, Western Europe, and South Asia.CODE AND DATA www.github.com/Braesemann/GlobalProgrammingNetworks

Suggested Citation

  • Fabian Braesemann & Niklas Stoehr & Mark Graham, 2019. "Global networks in collaborative programming," Regional Studies, Regional Science, Taylor & Francis Journals, vol. 6(1), pages 371-373, January.
  • Handle: RePEc:taf:rsrsxx:v:6:y:2019:i:1:p:371-373
    DOI: 10.1080/21681376.2019.1588155
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    Cited by:

    1. Stephany, Fabian & Braesemann, Fabian & Graham, Mark, 2019. "Coding Together - Coding Alone: The Role of Trust in Collaborative Programming," SocArXiv 8rf2h, Center for Open Science.
    2. Stoehr, Niklas & Braesemann, Fabian & Zhou, Shi, 2019. "Mining the Automotive Industry: A Network Analysis of Corporate Positioning and Technological Trends," SocArXiv bu5zs, Center for Open Science.
    3. Braesemann, Fabian & Stephany, Fabian, 2020. "Measuring Digital Development with Online Data: Digital Economies in Eastern Europe and Central Asia," SocArXiv f9jqh, Center for Open Science.

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