JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2020, Vol. 55 ›› Issue (5): 88-94.doi: 10.6040/j.issn.1671-9352.2.2019.156

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Importance evaluation algorithm of dynamic nodes in social networks based on time series and TOPSIS

JIA Han, HAN Yi-liang*, WU Xu-guang   

  1. College of Cryptography Engineering, Engineering University of PAP, Xian 710086, Shaanxi, China
  • Published:2020-05-06

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Abstract: Aiming at the fact that social networks are constantly changing with time, the consideration factor of time is introduced, based on the TOPSIS algorithm, and a comprehensive evaluation algorithm for node, node properties and time series is designed. Using Facebooks 28-month data set, it is divided into four time periods with 7 months as a stage, and the algorithm is verified in order of change time, and compared with the results of TOPSIS algorithm. The experimental results show that the proposed algorithm takes the importance of the nodes in each period of time into account, and the evaluation results are more in line with the actual dynamics of the nodes and have higher accuracy.

Key words: social network, dynamic node, time series and TOPSIS, importance evaluation algorithm

CLC Number: 

  • TP393.09
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