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A Fast Method for Community Detection Based on the Contribution of Nodes

机译:基于节点贡献的社区检测快速方法

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Communities exist in complex network of different areas, and there have been some methods to identify the communities in networks. However, the high computationally demanding limits their applications. In this paper, we propose a measurement of relationship between node and community, and then give a new comparative definition for community in complex networks. Based on these definitions we put forward the corresponding detecting algorithm. The effectiveness of our algorithm is demonstrated by extensive experiments on lots of computer generated graphs and public available real-world graphs. The result shows our algorithm is fast and accuracy in detecting communities.
机译:社区存在于不同领域的复杂网络中,并有一些方法可以识别网络中的社区。然而,高计算要求苛刻限制了他们的应用。在本文中,我们提出了节点与社区之间的关系,然后在复杂网络中为社区提供了新的比较定义。基于这些定义,我们提出了相应的检测算法。我们的算法的有效性是通过大量计算机生成的图形和公共可用现实世界图的大量实验来证明。结果表明,我们的算法在检测社区方面是快速准确的。

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