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Power in the U.S. political economy: A network analysis

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  • Nishant Malik
  • David Spencer
  • Quang Neo Bui

Abstract

Many features of the U.S. political economy arise from the interactions between large political and economic institutions, and yet we know little about the nature of their interactions and the power distribution between these institutions. In this paper, we present a detailed analysis of networks of U.S.‐based organizations, where edges represent three different kinds of relationships, namely owner–owned (ownerships), donor–donee (donations), and service provider–payee (transactions). Our findings suggest that in the ownerships network, the financial organizations form the core, and banking organizations hold strategic locations in the network. In the transactions network, the government organizations and agencies form the core, and defense‐related organizations form the backbone. In contrast, with the donations network, no specific domain of organizations forms either the core or the backbone.

Suggested Citation

  • Nishant Malik & David Spencer & Quang Neo Bui, 2021. "Power in the U.S. political economy: A network analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(7), pages 811-823, July.
  • Handle: RePEc:bla:jinfst:v:72:y:2021:i:7:p:811-823
    DOI: 10.1002/asi.24453
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    1. David Liben‐Nowell & Jon Kleinberg, 2007. "The link‐prediction problem for social networks," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(7), pages 1019-1031, May.
    2. Koger, Gregory & Masket, Seth & Noel, Hans, 2009. "Partisan Webs: Information Exchange and Party Networks," British Journal of Political Science, Cambridge University Press, vol. 39(3), pages 633-653, July.
    3. Yang-Yu Liu & Jean-Jacques Slotine & Albert-László Barabási, 2011. "Controllability of complex networks," Nature, Nature, vol. 473(7346), pages 167-173, May.
    4. Weingast, Barry R. & Wittman, Donald, 2008. "The Oxford Handbook of Political Economy," OUP Catalogue, Oxford University Press, number 9780199548477.
    5. Winecoff William Kindred, 2015. "Structural power and the global financial crisis: a network analytical approach," Business and Politics, De Gruyter, vol. 17(3), pages 495-525, October.
    6. John Kenneth Galbraith, 1983. "The Anatomy of Power," Challenge, Taylor & Francis Journals, vol. 26(3), pages 26-33, July.
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