IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v10y2014i4p529842.html
   My bibliography  Save this article

Uncovering Research Topics of Academic Communities of Scientific Collaboration Network

Author

Listed:
  • Hongqi Han
  • Shuo Xu
  • Jie Gui
  • Xiaodong Qiao
  • Lijun Zhu
  • Han Zhang

Abstract

In order to improve the quality of applications, such as recommendation or retrieval in knowledge-based service system, it is very helpful to uncover research topics of academic communities in scientific collaboration network (SCN). Previous research mainly focuses on network characteristics measurement and community evolution, but it remains largely understudied on how to uncover research topics of each community. This paper proposes a nonjoint approach, consisting of three simple steps: (1) to detect overlapping academic communities in SCN with the clique percolation method, (2) to discover underlying topics and research interests of each researcher with author-topic (AT) model, and (3) to label research topics of each community with top N most frequent collaborative topics between members belonging to the community. Extensive experimental results on NIPS (neural information processing systems) dataset show that our simple procedure is feasible and efficient.

Suggested Citation

  • Hongqi Han & Shuo Xu & Jie Gui & Xiaodong Qiao & Lijun Zhu & Han Zhang, 2014. "Uncovering Research Topics of Academic Communities of Scientific Collaboration Network," International Journal of Distributed Sensor Networks, , vol. 10(4), pages 529842-5298, April.
    • Handle: RePEc:sae:intdis:v:10:y:2014:i:4:p:529842
    DOI: 10.1155/2014/529842
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2014/529842
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2014/529842?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
    ---><---

    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:sae:intdis:v:10:y:2014:i:4:p:529842. 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: SAGE Publications (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.