系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (11): 3885-3892.doi: 10.12305/j.issn.1001-506X.2026.11.19

• 系统工程 • 上一篇    下一篇

基于增益机制与任务链融合的节点重要性评估

刘育松1, 郭昊明1, 燕雪峰1,2   

  1. 1. 南京航空航天大学计算机科学与技术学院,江苏 南京 210016
    2. 软件新技术与产业化协同创新中心,江苏 南京 210093
  • 收稿日期:2025-07-24 修回日期:2025-11-18 出版日期:2026-10-25 发布日期:2026-03-20
  • 通讯作者: 燕雪峰
  • 作者简介:刘育松(2001—),男,硕士研究生,主要研究方向为复杂系统建模与评估
    郭昊明(1995—),男,博士研究生,主要研究方向为复杂系统建模与评估

Node importance evaluation based on the fusion of gain mechanism and task-chain

Yusong Liu1, Haoming Guo1, Xuefeng Yan1,2   

  1. 1. School of Computer Science and Technology,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China
    2. Collaborative Innovation Center of Novel Software Technology and Industrialization,Nanjing 210093,China
  • Received:2025-07-24 Revised:2025-11-18 Online:2026-10-25 Published:2026-03-20
  • Contact: Xuefeng Yan

摘要:

现代作战体系网络中节点功能复杂、协同关系紧密,且具有动态演化特性,现有方法难以精准评估节点重要性。为此,提出一种基于增益机制与任务链融合的节点重要性评估方法。首先,构建具有高阶节点的作战体系网络模型,定义了7种类型任务链。然后,提出协同增益机制与作战块增益机制,分析节点作战能力,并基于节点属性搜索任务链,将节点作战能力融入任务链以反映节点在任务链中的能力贡献。最后,两者加权集成实现作战体系网络高阶节点重要性的评估。实例分析结果表明,与对比方法相比,所提方法识别的关键节点在移除后能更快速地导致网络作战能力与最大连通分量下降,验证了所提方法的有效性与准确性。

关键词: 作战体系网络, 任务链, 高阶节点, 增益机制, 节点重要性评估

Abstract:

In modern operational system-of-systems networks, node functions are complex, collaborative relationships are close, and it has dynamic evolution characteristics, making it difficult for existing methods to accurately evaluate node importance. Therefore, a node importance evaluation method based on the fusion of gain mechanism and kill chain is proposed. Firstly, a combat system-of-systems network model with high-order nodes is constructed, and seven types of task-chains are defined. Secondly, a cooperative gain mechanism and a combat module gain mechanism are introduced to analyze the combat capability of nodes. Based on node attributes, task-chains are searched, and node combat capabilities are integrated into the task-chains to reflect node capability contribution within them. Finally, the weighted integration of the two is used to evaluate the importance of high-order nodes in the combat system-of-systems network. Case analysis results show that, compared to comparative methods, the key nodes identified by the proposed method lead to a more rapid decline in network combat capability and the largest connected component when removed, which verifies the effectiveness and accuracy of the proposed method.

Key words: combat system-of-systems network, task-chain, high-order node, gain mechanism, node importance evaluation

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