Research on the Importance Ranking Method of Operaions Based on Optimized PageRank Algorithm
WU Lei
PAN Hanjin
CHANG Jie
GAO Chao
Abstract：Quickly and accurately identifying key actions from the massive data generated from wargaming can assist the di-recting department in mastering the operational process and providing support for wargaming evaluation.This paper analyzes co-oc-currence actions and constructs a co-occurrence network model for operational actions,and uses the improved PageRank algorithm to rank the importance of operational actions.Experiments have shown that the optimized PageRank algorithm can rank the impor-tance of operational actions better and achieve the extraction of key actions.
Keywords：wargamingkey actionsimportance rankingco-occurrence network
Publication Date：2024-10-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 71-74 )