中文摘要：

提出了一种新颖的网络角色识别算法。该算法首先利用ISODATA方法对网络事件用户行为进行聚类分析;在此基础上,改进混合式蚁群（HBACA）算法,对网络事件中各用户积累行为进行持续分析,从而识别该事件执行过程中各用户所起的作用。仿真结果表明,该算法可以分清网络用户层次关系,获得事件中起主导作用的网络用户。

英文摘要：

A novel role analysis method for network domain users was proposed. Firstly, the algorithm used ISODATA algorithm to cluster network events for user behavior analysis, on the basis of conditions, the method search relationships between varieties of grouping sets in the network instance, and identify each user role in the performing process of network instance. Finally, simulation results show that the effectiveness of the proposed algorithm can distinguish the network user hierarchy and obtain the dominant roles about network users.