Three-Layer Complex Network Model Construction and Characteristic Analysis
MA Haiying1,2,3, XIAO Yuzhi1,2,3 , ZHAO Haixing1,2,3, WU Huan1, LUO Haixiu1,2,3
1. Computer Department, Qinghai Normal University, Xining 810016, China; 2. Tibetan Information Processing and Machin Translation Key Laboratory of Qinghai Province, Xining 810008, China; 3. Key Laboratory of Tibetan information Processing, Ministry of Education, Xining 810008, China
Abstract In order to reveal the characteristics of multilayer complex networks, three kinds of evolution models of three-layer complex networks are proposed, and a probability is defined to quantitatively describe the interlayer dependence of multilayer networks. The experimental results show that different random probabilities represent the degree distribution of three-layer networks with the characteristics of single peak, double peak and three peak. When the probabilities tends to 10-3, the three-layer scale free networks show the characteristics of power law and single peak co-occurrence; the influence of probability on the clustering coefficient and average path length of three-layer networks is relatively small.
MA Haiying,XIAO Yuzhi,ZHAO Haixing, et al. Three-Layer Complex Network Model Construction and Characteristic Analysis[J]. Complex Systems and Complexity Science,
2020, 17(4): 16-29.
