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Network Analysis

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Part of the book series: Palgrave Studies in Economic History ((PEHS))

Abstract

Network analysis allows for the identification and analysis of linkages formed by the interaction, communication, and trade of individuals, families, and firms, as well as the spread of information and technologies. This chapter develops the notation sufficient to understand a discussion of networks. Its author reviews two analytical approaches to network structures and surveys some of the areas in which economic historians have deployed social network analysis.

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Notes

  1. 1.

    The interdisciplinary development of network analysis is surveyed in Newman (2010). As with other areas of the social sciences, formal analysis of networks has benefited from the increased power of personal computing, which has greatly reduced the computational burden of visualising and analysing social networks.

  2. 2.

    Density is the number of observed connections over the number of possible connections.

  3. 3.

    There are many studies of financial contagion networks (Mitchener and Richardson 2016; Calomiris and Carlson 2017); for a review see Summer (2013).

  4. 4.

    See, for instance, the collection of studies in Gestrich and Beerbühl (2011).

  5. 5.

    See the comprehensive survey on this topic by Chandrasekhar and Lewis (2016).

  6. 6.

    The review of spatial econometric models in Vega and Elhorst (2015) provides a useful discussion of this issue.

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Geisler Mesevage, G. (2018). Network Analysis. In: Blum, M., Colvin, C. (eds) An Economist’s Guide to Economic History. Palgrave Studies in Economic History. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-96568-0_50

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  • DOI: https://doi.org/10.1007/978-3-319-96568-0_50

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