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
Link To Document :
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