IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v433y2015icp1-8.html
   My bibliography  Save this article

Enumeration of spanning trees on contact graphs of disk packings

Author

Listed:
  • Qin, Sen
  • Zhang, Jingyuan
  • Chen, Xufeng
  • Chen, Fangyue

Abstract

Obtaining the number of spanning trees of complex networks is an outstanding challenge, since traditional approaches, such as calculating the eigenvalues of the matrix and decomposing of spanning subgraphs, are awkward or even infeasible for a large scale network. The foundation and importance of this quantity relating to some topological and dynamic properties prompt us to explore the role of determinant identities for Laplace matrices. We introduce the basic electrically equivalent technique to determine an exact analytical expression for the quantity on the contact graph of disk packings, which is proposed by Zhang et al. (2009). Our theoretical results shed light on the relationship between the microscopic change of the quantity and topological iteration of the network. In particular, we compare the entropy of spanning trees on the network with the other two-dimensional and three-dimensional lattices. We show that the new model is a small-world scale-free network with the maximum entropy so far found. In addition, our method for employing the electrically equivalent technique to enumerate spanning trees is general and can be easily extended to other complex networks.

Suggested Citation

  • Qin, Sen & Zhang, Jingyuan & Chen, Xufeng & Chen, Fangyue, 2015. "Enumeration of spanning trees on contact graphs of disk packings," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 1-8.
  • Handle: RePEc:eee:phsmap:v:433:y:2015:i:c:p:1-8
    DOI: 10.1016/j.physa.2015.03.047
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843711500309X
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2015.03.047?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.

    Citations

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


    Cited by:

    1. Wei, Yun & Tian, Qing & Guo, Jianhua & Huang, Wei & Cao, Jinde, 2019. "Multi-vehicle detection algorithm through combining Harr and HOG features," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 155(C), pages 130-145.

    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:eee:phsmap:v:433:y:2015:i:c:p:1-8. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.