• DocumentCode
    569215
  • Title

    Improved Search Algorithm Based on Probability of Node´s Degree on Complex Networks

  • Author

    Gu Yiran ; Zhao Wenwen

  • Author_Institution
    Coll. of Autom., Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • fYear
    2012
  • fDate
    July 31 2012-Aug. 2 2012
  • Firstpage
    485
  • Lastpage
    488
  • Abstract
    As a hot research topic recently, complex networks have important practical significance and research value in studying of the search strategy and finding the specified files or data and determining the shortest path between nodes. Since the nodes with the highest degree are very susceptible to network congestion, we present an improved algorithm based on breadth-first search algorithm and high degree seeking algorithm. The current nodes transmit the query message to the neighbor nodes with the higher degree depending on their probability P of the nodes´ degree. Our strategy can redistribute traffic load in central nodes to non-central nodes. The simulations are made on classical networks models and real networks. Our results indicate that the proposed search algorithm has better search results.
  • Keywords
    complex networks; probability; query processing; social networking (online); tree searching; breadth-first search algorithm; complex networks; high degree seeking algorithm; improved search algorithm; neighbor nodes; network congestion; probability; query message; traffic load; Algorithm design and analysis; Analytical models; Complex networks; Educational institutions; Load modeling; Search problems; Social network services; complex networks; degree; search algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Manufacturing and Automation (ICDMA), 2012 Third International Conference on
  • Conference_Location
    GuiLin
  • Print_ISBN
    978-1-4673-2217-1
  • Type

    conf

  • DOI
    10.1109/ICDMA.2012.116
  • Filename
    6298561