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Data mining task is a challenge on finding a high-quality community structure from largescale networks. The distance dynamics model was proved to be active on regular-size network community, but it is difficult to discover the community structure effectively from the large-scale network (0.1-1 billion edges), due to the limit of machine hardware and high time complexity. In this paper, we proposed a parallel community detection algorithm based on the distance dynamics model called P-Attractor,doi:10.1109/access.2018.2859788 fatcat:oxzbkb7xvvfhlpdsuot6zvagoa