Comparative analysis of networks' centrality measures with ANOVA
This study introduces the GDK method, combining Global Structure Model (GSM), Degree Centrality (DC), and K-shell decomposition (Ks), to assess node significance in networks. In comparison to traditional metrics (Degree Centrality, Betweenness Centrality, and Closeness Centrality), GDK is evaluated across three network types: social (Email), scientific (Netscience), and technological (Router). Analysis of Variance (ANOVA) and Kendall's correlation show that GDK consistently achieves higher correlation in ranking nodes, making it a more reliable tool. By integrating l