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Community Detection Framework based on Multi-Strengthening Approach

机译:基于多重强化方法的社区检测框架

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Community detection is one of the research topics recently gain interest of researchers in the area of network science. Finding the community, or groups of having stronger connections within its group members is important as to provide the underlying information hidden within the network. It is a challenge to ensure the community found represent the factual meaning of the community. This paper proposes a conceptual framework that embedded multi-strengthening of group member as another approach allowing comprehensive community found in the complex network. The framework and its merging phases are presented in this study.
机译:社区检测是最近在网络科学领域引起研究人员兴趣的研究主题之一。寻找社区或团体中具有更紧密联系的团体对于提供隐藏在网络中的基础信息很重要。确保所发现的社区代表社区的事实意义是一项挑战。本文提出了一个概念框架,该框架嵌入了对小组成员的多重强化,作为允许在复杂网络中找到综合社区的另一种方法。这项研究提出了框架及其合并阶段。

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