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Overlapping Community Detection by Local Decentralised Vertex-Centred Process

机译:通过局部分散的以顶点为中心的过程重叠社区检测

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This paper focuses on the identification of overlapping communities, allowing nodes to simultaneously belong to several communities, in a decentralised way. To that aim it proposes LOCNeSs, an algorithm specially designed to run in a decentralised environment and to limit propagation, two essential characteristics to be applied in mobile networks. It is based on the exploitation of the preferential attachment mechanism in networks. Experimental results show that LOCNeSs is stable and achieves good overlapping vertex identification.
机译:本文着重于重叠社区的识别,以分散的方式允许节点同时属于多个社区。为此,它提出了LOCNeSs,这是一种专门设计用于在分散环境中运行并限制传播的算法,这是要在移动网络中应用的两个基本特征。它基于对网络中优先连接机制的利用。实验结果表明,LOCNeSs是稳定的,并且可以实现良好的重叠顶点识别。

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