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
fDate :
July 31 2012-Aug. 2 2012
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;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2012 Third International Conference on
Conference_Location :
GuiLin
Print_ISBN :
978-1-4673-2217-1
DOI :
10.1109/ICDMA.2012.116