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Five reasons for the use of network analysis in the history of economics

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  • Herfeld Catherine
  • Malte Doehne

Abstract

Network analysis is increasingly appreciated as a methodology in the social sciences. In recent years, it is also receiving attention among historians of science. History of economics is no exception in that researchers have begun to use network analysis to study a variety of topics, including collaborations and interactions in scientific communities, the spread of economic theories within and across fields, or the formation of new specialties in the discipline of economics. Against this backdrop, a debate is emerging about how network analysis can help address questions that are pertinent to the history of economics. With this paper, we want to push this debate one step forward by offering and discussing five reasons why network analysis should have a future in the history of economics.

Suggested Citation

  • Herfeld Catherine & Malte Doehne, 2018. "Five reasons for the use of network analysis in the history of economics," Journal of Economic Methodology, Taylor & Francis Journals, vol. 25(4), pages 311-328, October.
    • Handle: RePEc:taf:jecmet:v:25:y:2018:i:4:p:311-328
    DOI: 10.1080/1350178X.2018.1529172
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    Cited by:

    1. Malte Doehne & Catherine Herfeld, 2023. "How academic opinion leaders shape scientific ideas: an acknowledgment analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2507-2533, April.
    2. Ballandonne, Matthieu & Cersosimo, Igor, 2022. "Towards a “Text as Data” Approach in the History of Economics: An Application to Adam Smith’s Classics," OSF Preprints mg3zb, Center for Open Science.
    3. Feng Wang & Jing Ren & Juan Liu & Mingru Dong & Bin Yan & Hui Zhao, 2021. "Spatial correlation network and population mobility effect of regional haze pollution: empirical evidence from Pearl River Delta urban agglomeration in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 15881-15896, November.

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