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Community detection in networks using atom stabilization algorithm

机译:使用原子稳定算法的网络社区检测

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摘要

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:社区检测问题对于更好地理解节点之间以及整个网络之间的关系非常重要。在本文中,考虑使用原子稳定算法(ASA)来识别社区。修改的隔离度用作目标函数。隔离度衡量节点组将其与网络其余部分隔离的能力。将结果与五个质量和五个准确性指标方面的其他四个方法进行比较。实验结果表明了该方法的能力。

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