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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- 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.
Density is the number of observed connections over the number of possible connections.
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See, for instance, the collection of studies in Gestrich and Beerbühl (2011).
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See the comprehensive survey on this topic by Chandrasekhar and Lewis (2016).
- 6.
The review of spatial econometric models in Vega and Elhorst (2015) provides a useful discussion of this issue.
Reading List
Becker, S.O., S. Pfaff, and J. Rubin. 2016. Causes and Consequences of the Protestant Reformation. Explorations in Economic History 62: 1–25.
Boucher, Vincent, and Bernard Fortin. 2016. Some Challenges in the Empirics of the Effects of Networks. In The Oxford Handbook of the Economics of Networks, ed. Yann Bramoullé, Andrea Galeotti, and Brian Rogers, 277–302. Oxford: Oxford University Press.
Bramoullé, Yann, Habiba Djebbari, and Bernard Fortin. 2009. Identification of Peer Effects through Social Networks. Journal of Econometrics 150 (1): 41–55.
Braudel, F. 1982. Civilization and Capitalism, 15th–18th Century, Vol. II: The Wheels of Commerce. Berkeley, CA: University of California Press.
Buchnea, Emily. 2014. Transatlantic Transformations: Visualizing Change Over Time in the Liverpool-New York Trade Network, 1763–1833. Enterprise and Society 15 (4): 687–721.
Calomiris, Charles W., and Mark Carlson. 2017. Interbank Networks in the National Banking Era: Their Purpose and Their Role in the Panic of 1893. Journal of Financial Economics 125 (3): 434–453.
Chandrasekhar, Arun G., and Randall Lewis. 2016. Econometrics of Sampled Networks. Mimeo.
Colvin, Christopher L., Abe de Jong, and Philip T. Fliers. 2015. Predicting the Past: Understanding the Causes of Bank Distress in the Netherlands in the 1920s. Explorations in Economic History 55: 97–121.
De Giorgi, Giacomo, Michele Pellizzari, and Silvia Redaell. 2010. Identification of Social Interactions through Partially Overlapping Peer Groups. American Economic Journal: Applied Economics 2 (2): 241–275.
Erikson, Emily, and Peter Bearman. 2006. Malfeasance and the Foundations for Global Trade: The Structure of English Trade in the East Indies, 1601–1833. American Journal of Sociology 112 (1): 195–230.
Esteves, Rui, and Gabriel Geisler Mesevage. 2017. The Rise of New Corruption: British MPs During the Railway Mania of 1845. Centre for Economic Policy Research, No. DP12182 (July).
Flandreau, Marc, and Clemens Jobst. 2005. The Ties That Divide: A Network Analysis of the International Monetary System, 1890–1910. The Journal of Economic History 65 (4): 977–1007.
Fohlin, Caroline. 1998. Relationship Banking, Liquidity, and Investment in the German Industrialization. Journal of Finance 53 (5): 1737–1758.
Gestrich, A., and M.S. Beerbühl, eds. 2011. Cosmopolitan Networks in Commerce and Society: 1660–1914. German Historical Institute: London.
Goyal, S. 2012. Connections: An Introduction to the Economics of Networks. Princeton, NJ: Princeton University Press.
Haggerty, John, and Sheryllynne Haggerty. 2011. The Life Cycle of a Metropolitan Business Network: Liverpool 1750–1810. Explorations in Economic History 48 (2): 189–206.
Haggerty, Sheryllynne, and John Haggerty. 2015. Visual Analytics of an Eighteenth-Century Business Network. Enterprise and Society 11 (1): 1–25.
Hancock, David. 2005. The Trouble with Networks: Managing the Scots’ Early-Modern Madeira Trade. Business History Review 79 (3): 467–491.
Hillmann, Henning. 2008. Mediation in Multiple Networks: Elite Mobilization before the English Civil War. American Sociological Review 73 (3): 426-454.
Jackson, Matthew O. 2010. Social and Economic Networks. Princeton, NJ: Princeton University Press.
———. 2016. The Past and Future of Network Analysis in Economics. In The Oxford Handbook of the Economics of Networks, ed. Yann Bramoullé, Alberto Galeotti, and Brian Rogers, 71–82. Oxford: Oxford University Press.
Keleijan, Harry, and Ingmar Prucha. 1998. A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances. Journal of Real Estate Finance and Economics 17 (1): 99–121.
———. 2010. Specification and Estimation of Spatial Autoregressive Models with Autoregressive and Heteroskedastic Disturbances. Journal of Econometrics 157: 53–67.
Lampe, Markus. 2011. Explaining Nineteenth-Century Bilateralism: Economic and Political Determinants of the Cobden-Chevalier Network. Economic History Review 64 (2): 644–668.
Lazer, David. 2011. Networks in Political Science: Back to the Future. PS—Political Science and Politics 44 (1): 61–68.
Lluch, Andrea, Erica Salvaj, and María Inés Barbero. 2014. Corporate Networks and Business Groups in Argentina in the Early 1970s. Australian Economic History Review 54 (2): 183–208.
Manski, Charles. 1993. Identification of Endogenous Social Effects: The Reflection Problem. Review of Economic Studies 60 (3): 531–542.
McLean, Paul, and John Padgett. 1997. Was Florence a Perfectly Competitive Market? Transactional Evidence from the Renaissance. Theory and Society 26 (2/3): 209–244.
Mitchener, Kris James, and Gary Richardson. 2016. Network Contagion and Interbank Amplification during the Great Depression. NBER Working Paper Series, Paper No. w22074.
Mizruchi, Mark S., and Eric J. Neuman. 2008. The Effect of Density on the Level of Bias in the Network Autocorrelation Model. Social Networks 30 (1): 190–200.
Musacchio, Aldo, and Ian Read. 2007. Bankers, Industrialists, and Their Cliques: Elite Networks in Mexico and Brazil during Early Industrialization. Enterprise and Society 8 (4): 842–880.
Newman, Mark. 2010. Networks: An Introduction. Oxford: Oxford University Press.
Nexon, Daniel. 2009. The Struggle for Power in Early Modern Europe: Religious Conflict, Dynastic Empires, and International Change. Princeton, NJ: Princeton University Press.
Padgett, John, and Christopher K. Ansell. 1993. Robust Action and the Rise of the Medici, 1400–1434. American Journal of Sociology 98 (6): 1259–1434.
Shalizi, Cosma Rohilla, and Andrew C. Thomas. 2011. Homophily and Contagion are Generically Confounded in Observational Social Network Studies. Sociological Methods & Research 40 (2): 211–239.
Summer, Martin. 2013. Financial Contagion and Network Analysis. Annual Review of Financial Economics 5: 277–297.
Vega, Solmaria Halleck, and J. Paul Elhorst. 2015. The SLX Model. Journal of Regional Science 55 (3): 339–363.
Wang, Dan J., Xiaolin Shi, Daniel A. McFarland, and Jure Leskovec. 2012. Measurement Error in Network Data: A Re-classification. Social Networks 34 (4): 396–409.
Ward, Michael D., Katherine Stovel, and Audrey Sacks. 2011. Network Analysis and Political Science. Annual Review of Political Science 14: 245–264.
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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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