• DocumentCode
    3593345
  • Title

    Detecting Collaborative Fields Using Social Networks

  • Author

    Shin, Dongwook ; Kang, Jinbeom ; Choi, Joongmin ; Yang, Jaeyoung

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Hanyang Univ., Ansan
  • Volume
    1
  • fYear
    2008
  • Firstpage
    325
  • Lastpage
    328
  • Abstract
    It is generally difficult for researchers to obtain information related to their own fields and novel technologies from huge data residing in the World Wide Web. Furthermore, they often try to apply them to other particular fields which are different from theirs. The main motivation of this phenomenon is to solve existing problems or improve the performance of their systems. Hence, it is important to detect collaborative fields in which technologies of particular fields are applied to another area to find various trends. In this paper, we propose a method to detect collaborative fields by using social networks representing the relations among authors of papers, and describe some experimental results to show the effectiveness of the proposed method when collaborative fields are detected by using social networks.
  • Keywords
    Internet; groupware; social sciences computing; World Wide Web; collaborative field detection; social networks; Collaborative work; Computer networks; Computer science; Data engineering; Data mining; Humans; Information management; International collaboration; Social network services; Web sites; Feature Selection; Recommendation Systems; Social Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networked Computing and Advanced Information Management, 2008. NCM '08. Fourth International Conference on
  • Print_ISBN
    978-0-7695-3322-3
  • Type

    conf

  • DOI
    10.1109/NCM.2008.80
  • Filename
    4624027