IDEAS home Printed from https://ideas.repec.org/a/ssi/jouesi/v5y2018i3p502-513.html
   My bibliography  Save this article

Percolation approach to simulation of a sustainable network economy structure

Author

Listed:
  • Mira A. Kantemirova

    (Gorsky State Agrarian University, Russian Federation)

  • Mira A. Kantemirova

    (North Ossetian State Medical Academy, Russian Federation)

  • Zaur L. Dzakoev

    (North Ossetian State University, Russian Federation)

  • Zara R. Alikova

    (North Ossetian State Medical Academy, Russian Federation)

  • Sergei R. Chedgemov

    (North Ossetian State Medical Academy, Russian Federation)

  • Sergei R. Chedgemov

    (North Ossetian State University, Russian Federation)

  • Zarina V. Soskieva

    (North Ossetian State Medical Academy, Russian Federation)

  • Zarina V. Soskieva

    (Gorsky State Agrarian University, Russian Federation)

Abstract

This study is aimed at the application of the percolation theory to simulation of a sustainable network organization of the economy in conditions of high uncertainty of the external environment. The methods for investment and cost recovery efficiency calculation in order to achieve synergy are used in the course of networks formation. The methods of graph theory and one-dimensional percolation are used herein. The conceptual content of the modified percolation approach to the analysis and simulation of network structures is specified. The controlled process of network formation offers the possibility to form the percolation cluster on the basis of minimization of its length (the shortest path). The formation regularities of two types of a percolation cluster (internal and cross-border) as the basis for the creation of the appropriate network structures are revealed. The examples of the applied problems, which study the percolation based on lattice cells (lattice coupling problem), are considered herein. The results of empirical approbation of the proposed approach in the field of services with the description of the algorithm for the networks and a cluster formation are presented. The transition from the random Bernol's percolation (based on random selection of cells) in favor of the correlated percolation is justified.

Suggested Citation

  • Mira A. Kantemirova & Mira A. Kantemirova & Zaur L. Dzakoev & Zara R. Alikova & Sergei R. Chedgemov & Sergei R. Chedgemov & Zarina V. Soskieva & Zarina V. Soskieva, 2018. "Percolation approach to simulation of a sustainable network economy structure," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 5(3), pages 502-513, March.
    • Handle: RePEc:ssi:jouesi:v:5:y:2018:i:3:p:502-513
    DOI: 10.9770/jesi.2018.5.3(7)
    as

    Download full text from publisher

    File URL: https://jssidoi.org/jesi/uploads/articles/19/Kantemirova_Percolation_approach_to_simulation_of_a_sustainable_network_economy_structure.pdf
    Download Restriction: no
    File URL: https://jssidoi.org/jesi/article/163
    Download Restriction: no
    File URL: https://libkey.io/10.9770/jesi.2018.5.3(7)?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. Baggio Rodolfo & Sheresheva Marina, 2014. "Network approach in economics and management: The interdisciplinary nature," Working Papers 0011, Moscow State University, Faculty of Economics.
    2. Mahendra Piraveenan & Mikhail Prokopenko & Liaquat Hossain, 2013. "Percolation Centrality: Quantifying Graph-Theoretic Impact of Nodes during Percolation in Networks," PLOS ONE, Public Library of Science, vol. 8(1), pages 1-14, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yelena Petrenko & Elena Vechkinzova & Viktor Antonov, 2019. "Transition from the industrial clusters to the smart specialization: a case study," Insights into Regional Development, VsI Entrepreneurship and Sustainability Center, vol. 1(2), pages 118-128, June.
    2. Yelena Petrenko & Elena Vechkinzova & Viktor Antonov, 2019. "Transition from the industrial clusters to the smart specialization: a case study," Post-Print hal-02163010, HAL.

    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. Mira A. Kantemirova & Zaur L. Dzakoev & Zara R. Alikova & Sergei R. Chedgemov & Zarina V. Soskieva, 2018. "Percolation approach to simulation of a sustainable network economy structure," Post-Print hal-01773587, HAL.
    2. Marina Y. Sheresheva & Lilia A. Valitova & Elena R. Sharko & Ekaterina V. Buzulukova, 2022. "Application of Social Network Analysis to Visualization and Description of Industrial Clusters: A Case of the Textile Industry," JRFM, MDPI, vol. 15(3), pages 1-17, March.
    3. Anita Mezzetti & Loic Mar'echal & Dimitri Percia David & William Lacube & S'ebastien Gillard & Michael Tsesmelis & Thomas Maillart & Alain Mermoud, 2022. "TechRank," Papers 2210.07824, arXiv.org.
    4. Nasirian, Farzaneh & Mahdavi Pajouh, Foad & Balasundaram, Balabhaskar, 2020. "Detecting a most closeness-central clique in complex networks," European Journal of Operational Research, Elsevier, vol. 283(2), pages 461-475.
    5. Zádor, Zsófia & Zhu, Zhen & Smith, Matthew & Gorgoni, Sara, 2022. "A weighted and normalized Gould–Fernandez brokerage measure," Greenwich Papers in Political Economy 37794, University of Greenwich, Greenwich Political Economy Research Centre.
    6. Víctor Martínez & Fernando Berzal & Juan-Carlos Cubero, 2019. "NOESIS: A Framework for Complex Network Data Analysis," Complexity, Hindawi, vol. 2019, pages 1-14, October.
    7. Marina Yu. SHERESHEVA & Svetlana O. DUNAEVA, 2019. "Networking as the basis for value proposition of transport companies in the railway transit market," Upravlenets, Ural State University of Economics, vol. 10(3), pages 47-57, July.
    8. Belik, Ivan & Jörnsten, Kurt, 2014. "Centrality Computation in Weighted Networks Based on Edge-Splitting Procedure," Discussion Papers 2014/40, Norwegian School of Economics, Department of Business and Management Science.
    9. Sheresheva Marina & Alexander Luzhin & Julia Trifonova, 2015. "Cinema chains in Russia," Working Papers 0021, Moscow State University, Faculty of Economics.
    10. Mahdi Jalili & Ali Salehzadeh-Yazdi & Yazdan Asgari & Seyed Shahriar Arab & Marjan Yaghmaie & Ardeshir Ghavamzadeh & Kamran Alimoghaddam, 2015. "CentiServer: A Comprehensive Resource, Web-Based Application and R Package for Centrality Analysis," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-8, November.
    11. Ullah, Farman & Lee, Sungchang, 2017. "Identification of influential nodes based on temporal-aware modeling of multi-hop neighbor interactions for influence spread maximization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 968-985.
    12. King, Maia, 2020. "The probabilities of node-to-node diffusion in fixed networks," SocArXiv dfq8y, Center for Open Science.
    13. Shota Tabata, 2024. "A centrality measure for grid street network considering sequential route choice behaviour," Environment and Planning B, , vol. 51(3), pages 610-624, March.
    14. Gabdelyakhat R. Latfullin & Oleg F. Gabdrakhmanov & Elena Y. Ivanova-Yakushko & Andrey V. Nazarov, 2020. "Informal Economic Networks in the Services Sector," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 156-178.
    15. Sheryl Le Chang & Mahendra Piraveenan & Mikhail Prokopenko, 2019. "The Effects of Imitation Dynamics on Vaccination Behaviours in SIR-Network Model," IJERPH, MDPI, vol. 16(14), pages 1-31, July.
    16. Feng, Yuhao & Wu, Shufan & Wu, Peixin & Su, Shiliang & Weng, Min & Bian, Meng, 2018. "Spatiotemporal characterization of megaregional poly-centrality: Evidence for new urban hypotheses and implications for polycentric policies," Land Use Policy, Elsevier, vol. 77(C), pages 712-731.
    17. Aleksandrova Anna & Sheresheva Marina & Natalya Egorova, 2015. "Tourism clusters in Russia: a network perspective," Working Papers 0022, Moscow State University, Faculty of Economics.
    18. Kovalenko, K. & Romance, M. & Vasilyeva, E. & Aleja, D. & Criado, R. & Musatov, D. & Raigorodskii, A.M. & Flores, J. & Samoylenko, I. & Alfaro-Bittner, K. & Perc, M. & Boccaletti, S., 2022. "Vector centrality in hypergraphs," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    19. Elhem Ben Fatma & Ezzeddine Ben Mohamed & Léo-Paul Dana & Sami Boudabbous, 2021. "Does entrepreneurs’ psychology affect their business venture success? Empirical findings from North Africa," International Entrepreneurship and Management Journal, Springer, vol. 17(2), pages 921-962, June.

    More about this item

    Keywords

    percolation; percolation theory; cluster; networks;
    All these keywords.

    JEL classification:

    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation

    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:ssi:jouesi:v:5:y:2018:i:3:p:502-513. 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: Manuela Tvaronaviciene (email available below). General contact details of provider: .

    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.