• DocumentCode
    2924731
  • Title

    A hybrid method for constructing High Level Architecture of BBS user network

  • Author

    Qiu, D.H. ; Li, Y. ; Li, H.

  • Author_Institution
    Sch. of Software Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2011
  • fDate
    8-10 Nov. 2011
  • Firstpage
    556
  • Lastpage
    561
  • Abstract
    It is useful to understand the High Level Architecture (HLA) of the user network of Bulletin Board Systems (BBS) for some applications. In this paper, we construct the HLA of a BBS user network through hybrid static and dynamic analysis of the quantitative temporal graphs that are extracted from the BBS entries. We detect the HLA framework first though the static structural analysis of the aggregation of the temporal graphs. Then, we identify the HLA components including communities, community cores, and hubs elaborately through the dynamic analysis of the quantitative temporal attributes of nodes. The hybrid method guarantees the HLA quality as it removes the false components from the HLA. It controls the computational cost at a low level also. A metric is proposed to evaluate the HLA efficiency in information transmission. The experiments show that the HLA constructed by the hybrid method outperforms that constructed by the comparative method.
  • Keywords
    digital simulation; graph theory; social networking (online); BBS user network; bulletin board systems; high level architecture; hybrid dynamic analysis; information transmission; quantitative temporal graphs; static structural analysis; Blogs; Communities; Data mining; Fluctuations; Measurement; Social network services; Vectors; high level architecture; hybrid analysis; online social network; quantitative temporal graph;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2011 IEEE International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-1-4577-0372-0
  • Type

    conf

  • DOI
    10.1109/GRC.2011.6122657
  • Filename
    6122657