IDEAS home Printed from https://ideas.repec.org/a/spr/telsys/v63y2016i3d10.1007_s11235-015-0127-1.html
   My bibliography  Save this article

The study of the dynamic model on KAD network information spreading

Author

Listed:
  • Ru Wang

    (Northwestern Polytechnical University)

  • Wandong Cai

    (Northwestern Polytechnical University)

  • Bo Shen

    (Northwestern Polytechnical University)

Abstract

In recent years, the pure distributed file sharing peer-to-peer network—Kad network has been paid close attention by scholars. However, the study of the controlling problem of information spreading on the Kad network is rare. We found that the traditional infectious model MSEIR is similar with the specific information propagation of the Kad network by studying. But the MSEIR model could not completely and accurately simulate the information dissemination process of the Kad network. Therefore, the model of Kad epidemic dynamic model (KEDM) which has improved the transmission status of the existing MSEIR is proposed. Considering the characteristics of the KEDM model in different time segment, we redefine the relationship between the status transitions. We derived the basic reproduction number of KEDM using the degree function reference model. Data simulation results show that the KEDM can more accurately describe the specific information propagation of the Kad network than traditional MSEIR model. The basic reproduction number can accurately reflect the equilibrium threshold and stability of the specific information propagation in Kad network.

Suggested Citation

  • Ru Wang & Wandong Cai & Bo Shen, 2016. "The study of the dynamic model on KAD network information spreading," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 63(3), pages 371-379, November.
  • Handle: RePEc:spr:telsys:v:63:y:2016:i:3:d:10.1007_s11235-015-0127-1
    DOI: 10.1007/s11235-015-0127-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11235-015-0127-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11235-015-0127-1?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zhang, Tailei & Liu, Junli & Teng, Zhidong, 2009. "Bifurcation analysis of a delayed SIS epidemic model with stage structure," Chaos, Solitons & Fractals, Elsevier, vol. 40(2), pages 563-576.
    2. Liu, Junli & Zhang, Tailei, 2009. "Bifurcation analysis of an SIS epidemic model with nonlinear birth rate," Chaos, Solitons & Fractals, Elsevier, vol. 40(3), pages 1091-1099.
    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. Chen, Wei & Teng, Zhidong & Zhang, Long, 2021. "Global dynamics for a drug-sensitive and drug-resistant mixed strains of HIV infection model with saturated incidence and distributed delays," Applied Mathematics and Computation, Elsevier, vol. 406(C).
    2. Rajasekar, S.P. & Pitchaimani, M. & Zhu, Quanxin, 2020. "Progressive dynamics of a stochastic epidemic model with logistic growth and saturated treatment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).
    3. Guo, Zun-Guang & Sun, Gui-Quan & Wang, Zhen & Jin, Zhen & Li, Li & Li, Can, 2020. "Spatial dynamics of an epidemic model with nonlocal infection," Applied Mathematics and Computation, Elsevier, vol. 377(C).
    4. Liu, Xinzhi & Stechlinski, Peter, 2014. "SIS models with switching and pulse control," Applied Mathematics and Computation, Elsevier, vol. 232(C), pages 727-742.
    5. Sharma, Sandeep & Singh, Fateh, 2021. "Bifurcation and stability analysis of a cholera model with vaccination and saturated treatment," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).

    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:spr:telsys:v:63:y:2016:i:3:d:10.1007_s11235-015-0127-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.