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

机译:基于蚁群聚类的自适应近距离交流社区检测方法

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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 antȁ9;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:网络社会中社区结构的研究是许多领域和学科中的重要问题。紧密沟通的社区不同于传统社区,传统社区特别强调结构或上下文。首先介绍了紧密联系的社区的定义和度量方法。在先前工作的基础上,改进了紧密通信的社区检测方法,在自适应调整的一些方面进行了改进,例如基于熵的权重调制,结合历史路径和随机游荡以选择下一个协调,强制卸载策略和antȁ9的自适应变化。的视力。在实验的一部分中讨论了参数的值选择,结果还揭示了我们算法在自适应调整中的改进。

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