IDEAS home Printed from https://ideas.repec.org/a/acf/journl/yid445.html
   My bibliography  Save this article

Relevant Issues Determining the Effectiveness of Policy Networks

Author

Listed:
  • Ruslan Rinatovich Abezgildin

Abstract

Evaluation criteria of efficiency of network communication has as its objective the elaboration of effective mechanisms aimed at overcoming the crisis of governability of state institutions and various destructive processes taking place in modern society. Despite the fact that the effectiveness of networking for a long time attracted the attention of political scientists, the concept of efficiency of managerial processes remains insufficiently developed in the theoretical problem. An important criterion of efficiency of political activity on the network is to achieve mutually acceptable to all actors of political decision (the desired specific, a positive result). In this case, the phenomenon of efficiency is the possibility of resource sharing, especially information and sustainable achievement of the main objectives of the system.

Suggested Citation

  • Ruslan Rinatovich Abezgildin, 0. "Relevant Issues Determining the Effectiveness of Policy Networks," Administrative Consulting, Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management., issue 10.
    • Handle: RePEc:acf:journl:y::id:445
    as

    Download full text from publisher

    File URL: https://www.acjournal.ru/jour/article/viewFile/445/446
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cranmer, Skyler J. & Desmarais, Bruce A., 2011. "Inferential Network Analysis with Exponential Random Graph Models," Political Analysis, Cambridge University Press, vol. 19(1), pages 66-86, January.
    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. García, Javier Sánchez & Rambaud, Salvador Cruz, 2023. "Macrofinancial determinants of volatility transmission in a network of European sovereign debt markets," Finance Research Letters, Elsevier, vol. 53(C).
    2. Sudeshna Paul & A. James O'Malley, 2013. "Hierarchical longitudinal models of relationships in social networks," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 62(5), pages 705-722, November.
    3. Daniele Fanelli & Wolfgang Glänzel, 2013. "Bibliometric Evidence for a Hierarchy of the Sciences," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-11, June.
    4. Daniel Straulino & Mattie Landman & Neave O'Clery, 2020. "A bi-directional approach to comparing the modular structure of networks," Papers 2010.06568, arXiv.org.
    5. Darko Cherepnalkoski & Andreas Karpf & Igor Mozetič & Miha Grčar, 2016. "Cohesion and Coalition Formation in the European Parliament: Roll-Call Votes and Twitter Activities," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-27, November.
    6. Ashish Arora & Michelle Gittelman & Sarah Kaplan & John Lynch & Will Mitchell & Nicolaj Siggelkow & Ji Youn (Rose) Kim & Michael Howard & Emily Cox Pahnke & Warren Boeker, 2016. "Understanding network formation in strategy research: Exponential random graph models," Strategic Management Journal, Wiley Blackwell, vol. 37(1), pages 22-44, January.
    7. Jungwon Yeo, 2023. "Interorganizational Coordination for Immigrant Integration into Local Society," Journal of International Migration and Integration, Springer, vol. 24(2), pages 567-585, June.
    8. Zeev Maoz & Paul L. Johnson & Jasper Kaplan & Fiona Ogunkoya & Aaron P. Shreve, 2019. "The Dyadic Militarized Interstate Disputes (MIDs) Dataset Version 3.0: Logic, Characteristics, and Comparisons to Alternative Datasets," Journal of Conflict Resolution, Peace Science Society (International), vol. 63(3), pages 811-835, March.
    9. Malte Möck, 2021. "Patterns of Policy Networks at the Local Level in Germany," Review of Policy Research, Policy Studies Organization, vol. 38(4), pages 454-477, July.
    10. Durante, Daniele & Dunson, David B., 2014. "Bayesian dynamic financial networks with time-varying predictors," Statistics & Probability Letters, Elsevier, vol. 93(C), pages 19-26.
    11. Kim Yeaji & Antenangeli Leonardo & Kirkland Justin, 2016. "Measurement Error and Attenuation Bias in Exponential Random Graph Models," Statistics, Politics and Policy, De Gruyter, vol. 7(1-2), pages 29-54, December.
    12. Gallemore, Caleb & Di Gregorio, Monica & Moeliono, Moira & Brockhaus, Maria & Prasti H., Rut Dini, 2015. "Transaction costs, power, and multi-level forest governance in Indonesia," Ecological Economics, Elsevier, vol. 114(C), pages 168-179.
    13. Lee, Jihui & Li, Gen & Wilson, James D., 2020. "Varying-coefficient models for dynamic networks," Computational Statistics & Data Analysis, Elsevier, vol. 152(C).
    14. Cornelius Fritz & Michael Lebacher & Göran Kauermann, 2020. "Tempus volat, hora fugit: A survey of tie‐oriented dynamic network models in discrete and continuous time," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 74(3), pages 275-299, August.
    15. Alexandra Goritz & Nina Kolleck & Helge Jörgens, 2019. "Education for Sustainable Development and Climate Change Education: The Potential of Social Network Analysis Based on Twitter Data," Sustainability, MDPI, vol. 11(19), pages 1-15, October.
    16. Tom Broekel & Pierre-Alexandre Balland & Martijn Burger & Frank Oort, 2014. "Modeling knowledge networks in economic geography: a discussion of four methods," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 423-452, September.
    17. Godechot, Olivier, 2018. "Note from the editor: Networks for economic sociology (and not the other way around)," economic sociology. perspectives and conversations, Max Planck Institute for the Study of Societies, vol. 19(3), pages 1-3.
    18. DeMuse, Ryan & Yin, Mei, 2021. "Dimension reduction in vertex-weighted exponential random graphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
    19. Olivier Godechot & Joanne Horton & Yuval Millo, 2022. "Executive Pay: Board Reciprocity Counts," Post-Print hal-03924965, HAL.
    20. Fischer, Manuel, 2015. "Collaboration patterns, external shocks and uncertainty: Swiss nuclear energy politics before and after Fukushima," Energy Policy, Elsevier, vol. 86(C), pages 520-528.

    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:acf:journl:y::id:445. 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: Рнтонова Ð•Ð²Ð³ÐµÐ½Ð¸Ñ Ð’Ð»Ð°Ð´Ð¸Ð¼Ð¸Ñ€Ð¾Ð²Ð½Ð° (email available below). General contact details of provider: https://sziu.ranepa.ru .

    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.