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A Multilevel Approach for Overlapping Community Detection

机译:重叠社区检测的多级方法

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Many real world complex networks have an a overlapping community structure, in which a vertex belongs to one or more communities. Numerous approaches for crisp overlapping community detection were proposed in the literature, most of them have a good accuracy but their computational costs are considerably high and infeasible for large-scale networks. Since the multilevel approach has not been previously applied to deal with overlapping communities detection problem, in this paper we propose an adaptation of this approach to tackle the detection problem to overlapping communities case. The goal is to analyze the time impact and the quality of solution of our multilevel strategy regarding to traditional algorithms. Our experiments show that our proposal consistently produces good performance compared to single-level algorithms and in less time.
机译:许多现实世界中的复杂网络具有重叠的社区结构,其中一个顶点属于一个或多个社区。文献中提出了许多用于脆性重叠社区检测的方法,其中大多数方法具有较高的准确性,但是其计算成本却很高,并且对于大规模网络而言是不可行的。由于以前没有应用多级方法来解决重叠社区检测问题,因此本文提出了一种适用于该方法的解决方案,以解决重叠社区案例的检测问题。目的是分析与传统算法有关的多级策略的时间影响和解决方案的质量。我们的实验表明,与单级算法相比,我们的建议始终能够产生良好的性能,并且耗时更少。

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