• DocumentCode
    2985416
  • Title

    Text Retrieval in Small World P2P Networks

  • Author

    Shi, Qingwei ; Wang, Xinhai ; Xu, Guangquan

  • Author_Institution
    Sch. of Software, Liaoning Tech. Univ., Huludao, China
  • fYear
    2009
  • fDate
    18-20 Jan. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    For the flooding problem in Gnutella, a text retrieval method is proposed in unstructured P2P networks based on small world models. Each node in the P2P networks maintains several long-link neighbors and short-link neighbors to build a small world P2P networks. Neighbors update is processed during the query and response. And after each query, weights of the words in documents of neighbor nodes will be revised. This makes it easy to find out the networks topology and contents of other nodes. Experiment results show that the small world P2P networks outperform Gnutella-like networks in the recall rate and search efficiency.
  • Keywords
    information retrieval; peer-to-peer computing; text analysis; word processing; Gnutella flooding problem; network topology; recall rate; search efficiency; small world P2P networks; text retrieval; Computer science; Explosions; IP networks; Indexing; Internet; Network topology; Peer to peer computing; Scalability; Social network services; Telecommunication traffic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5272-9
  • Type

    conf

  • DOI
    10.1109/CNMT.2009.5374491
  • Filename
    5374491