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
Link To Document