IDEAS home Printed from https://ideas.repec.org/a/bla/jinfst/v72y2021i7p811-823.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.24453
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asi.24453?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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, Decembrie.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ding, Rui & Ujang, Norsidah & Hamid, Hussain bin & Manan, Mohd Shahrudin Abd & He, Yuou & Li, Rong & Wu, Jianjun, 2018. "Detecting the urban traffic network structure dynamics through the growth and analysis of multi-layer networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 800-817.
    2. Jeong, Yujin & Park, Inchae & Yoon, Byungun, 2019. "Identifying emerging Research and Business Development (R&BD) areas based on topic modeling and visualization with intellectual property right data," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 655-672.
    3. Wei, Bo & Liu, Jie & Wei, Daijun & Gao, Cai & Deng, Yong, 2015. "Weighted k-shell decomposition for complex networks based on potential edge weights," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 277-283.
    4. Skoufias, Emmanuel & Narayan, Ambar & Dasgupta, Basab & Kaiser, Kai, 2011. "Electoral accountability, fiscal decentralization and service delivery in Indonesia," Policy Research Working Paper Series 5614, The World Bank.
    5. Yifei Zhou & Shaoyong Li & Yaping Liu, 2020. "Graph-based Method for App Usage Prediction with Attributed Heterogeneous Network Embedding," Future Internet, MDPI, vol. 12(3), pages 1-16, March.
    6. Karimi, Fatemeh & Lotfi, Shahriar & Izadkhah, Habib, 2021. "Community-guided link prediction in multiplex networks," Journal of Informetrics, Elsevier, vol. 15(4).
    7. Andreas Koulouris & Ioannis Katerelos & Theodore Tsekeris, 2013. "Multi-Equilibria Regulation Agent-Based Model of Opinion Dynamics in Social Networks," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 11(1), pages 51-70.
    8. Fabio Fiorillo & Agnese Sacchi, 2012. "The Political Economy of the Standard Level of Services: The Role of Income Distribution," CESifo Working Paper Series 3696, CESifo.
    9. He, He & Yang, Bo & Hu, Xiaoming, 2016. "Exploring community structure in networks by consensus dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 342-353.
    10. Patrik Paneš, 2005. "Teoretické koncepce hospodářské soutěže [Theoretical concepts of economic competition]," Politická ekonomie, Prague University of Economics and Business, vol. 2005(6), pages 811-825.
    11. De Donder, Philippe & Hindriks, Jean, 2007. "Equilibrium social insurance with policy-motivated parties," European Journal of Political Economy, Elsevier, vol. 23(3), pages 624-640, September.
    12. Hubert Tworzecki, 2019. "Poland: A Case of Top-Down Polarization," The ANNALS of the American Academy of Political and Social Science, , vol. 681(1), pages 97-119, January.
    13. Gantner, Anita & Horn, Kristian & Kerschbamer, Rudolf, 2019. "The role of communication in fair division with subjective claims," Journal of Economic Behavior & Organization, Elsevier, vol. 167(C), pages 72-89.
    14. Markus Leibrecht & Hans Pitlik, 2014. "Generalised Trust, Institutional and Political Constraints on the Executive and Deregulation of Markets," WIFO Working Papers 481, WIFO.
    15. Ellinas, Christos & Allan, Neil & Johansson, Anders, 2016. "Project systemic risk: Application examples of a network model," International Journal of Production Economics, Elsevier, vol. 182(C), pages 50-62.
    16. Yang, Hyeonchae & Jung, Woo-Sung, 2016. "Structural efficiency to manipulate public research institution networks," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 21-32.
    17. Bo Zhang & Jianping Yuan & J. F. Pan & Xiaoyu Wu & Jianjun Luo & Li Qiu, 2017. "Global Feedback Control for Coordinated Linear Switched Reluctance Machines Network with Full-State Observation and Internal Model Compensation," Energies, MDPI, vol. 10(12), pages 1-19, December.
    18. Stanley L. Winer & George Tridimas & Walter Hettich, 2007. "Social Welfare and Collective Goods Coercion in Public Economics," Carleton Economic Papers 07-03, Carleton University, Department of Economics.
    19. Xu, Hua & Wang, Minggang & Jiang, Shumin & Yang, Weiguo, 2020. "Carbon price forecasting with complex network and extreme learning machine," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    20. Jeffry Frieden & Stefanie Walter, 2019. "Analyzing inter-state negotiations in the Eurozone crisis and beyond," European Union Politics, , vol. 20(1), pages 134-151, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jinfst:v:72:y:2021:i:7:p:811-823. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.