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The Adaptive Method for Closely Communicating Community Detection Based on Ant Colony Clustering

机译:基于蚁群聚类的密切通信群落检测的自适应方法

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The investigation of community structures in networksis an important issue in many domains and disciplines.Closely communicating community is different from the traditional community which emphasize particularly on structure or context. The definition of closely communicating community and measuring method are introduced firstly. Based on the previous work, the closely communicating community detection method is improved in some aspects of adaptive adjusting, such as entropy based weight modulation, combining historical paths and random wandering to select next coordination, the strategy of forcing unloading and the adaptive change of ant’s eyesight. The value selection of parameters is discussed in the portion of experiments, and the results also reveal the improvement of our algorithm in adaptive adjusting.
机译:网络中社区结构调查许多域名和纪律的重要问题。沟通社区的不同与传统社区不同,特别是在结构或背景下强调。首先介绍了密切沟通群落和测量方法的定义。基于以前的工作,在适应性调整的某些方面,如熵的权重调制,历史路径和随机徘徊的一些方面,密切通信社区检测方法得到改善,以选择下一个协调,迫使卸载的策略和Ant的自适应变化眼力。在实验部分中讨论了参数的值选择,结果还揭示了我们在自适应调整中的算法的改进。

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