Mining Essential Relationships under Multiplex Networks

Liu Weiyi; Chen Lingli; Hu Guangmin

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arXiv · 1511.09134

Mining Essential Relationships under Multiplex Networks

Liu Weiyi·Chen Lingli·Hu Guangmin

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Abstract

In big data times, massive datasets often carry different relationships among the same group of nodes, analyzing on these heterogeneous relationships may give us a window to peek the essential relationships among nodes. In this paper, first of all we propose a new metric "similarity rate" in order to capture the changing rate of similarities between node-pairs though all networks; secondly, we try to use this new metric to uncover essential relationships between node-pairs which essential relationships are often hidden and hard to get. From experiments study of Indonesian Terrorists dataset, this new metric similarity rate function well for giving us a way to uncover essential relationships from lots of appearances.

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Liu Weiyi, Chen Lingli, Hu Guangmin. 2015-11-30. Mining Essential Relationships under Multiplex Networks. https://arxiv.org/abs/1511.09134

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