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Community detection in networks using atom stabilization algorithm

机译:使用原子稳定算法网络的社区检测

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Community detection problem has great importance for better understanding of the relationships among the nodes as well as the overall network. In this paper, Atom Stabilization Algorithm (ASA) is considered for identifying communities. Modified Isolability is used as an objective function. Isolability measures the ability of group of nodes to isolate them from rest of the network. The results are compared with four other methods in terms of five quality and five accuracy metrics. The experimental results show the competency of proposed approach.
机译:社区检测问题非常重视,以更好地了解节点之间的关系以及整体网络。本文认为原子稳定算法(ASA)被认为用于识别社区。修改的隔离性用作目标函数。隔离性测量节点组从网络其余部分隔离它们的能力。结果将结果与五种质量和五种准确度指标进行比较。实验结果表明了提出的方法的能力。

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