IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v548y2020ics0378437119321399.html
   My bibliography  Save this article

Predicting potential links via combined hybrid influence of endpoints and connectivity of quasi-local paths

Author

Listed:
  • Tian, Yang
  • Li, Han
  • Zhu, Xuzhen
  • Tian, Hui

Abstract

In complex networks, topological similarity based link prediction promotes the development of network science. Traditional researches consider that two unconnected endpoints have possibility to make a link if they possess large influence respectively. However, through profound investigations, we find that one endpoint with large influence also can attract other endpoints around. The phenomenon reveals that the mutual attractions between two unconnected endpoints depend on their combined influence instead of only single influence. Furthermore, previous researches pay more attention to the influence of endpoints with only degree considered. However, in quasi-local paths, we discover that synthesizing degree and H-index can more reliably capture the endpoints with great and extensive maximum connected subgraph, which can more possibly attract other unconnected endpoints. To sum up, we propose a model named combined hybrid influence connectivity index (CHIC) in this paper to explore its role on similarity based link prediction. The comparisons with eight mainstream indices are performed on experiments in twelve real data sets and the results show an improvement of prediction performance via CHIC index.

Suggested Citation

  • Tian, Yang & Li, Han & Zhu, Xuzhen & Tian, Hui, 2020. "Predicting potential links via combined hybrid influence of endpoints and connectivity of quasi-local paths," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 548(C).
    • Handle: RePEc:eee:phsmap:v:548:y:2020:i:c:s0378437119321399
    DOI: 10.1016/j.physa.2019.123850
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437119321399
    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.2019.123850?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.

    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:548:y:2020:i:c:s0378437119321399. 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.