Improved Label Propagation Algorithm Based on Network Preprocessing
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    Abstract:

    The stochastic strategy exists in LPA, which seriously destroys the robustness of the algorithm. With the advent of big data age, the scale of complex networks is increasing, which causes the computation of the algorithm to increase and the convergence rate to slow down. A new improved label propagation algorithm-KLPA is proposed to solve this problem. Firstly, the network is preprocessed by using the K-Shell index to divide the network into a core-edge layer, remove the nodes of the edge layer, and assign labels to the nodes in the core layer. Secondly, the improved propagation strategy is used to divide the community for preprocessing network. Finally, experiments show that the KLPA algorithm reduces the size of the network, effectively improves the quality of community division, and accelerates the convergence rate of the algorithm.

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孙生才,范菁,曲金帅,王玉红.基于网络预处理的改进标签传播算法.计算机系统应用,2018,27(4):173-177

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History
  • Received:July 11,2017
  • Revised:July 24,2017
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  • Online: April 03,2018
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