Multimodal Network Alignment

Huda Nassar; David F. Gleich

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arXiv · 1703.10511

Multimodal Network Alignment

Huda Nassar·David F. Gleich

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Abstract

A multimodal network encodes relationships between the same set of nodes in multiple settings, and network alignment is a powerful tool for transferring information and insight between a pair of networks. We propose a method for multimodal network alignment that computes a matrix which indicates the alignment, but produces the result as a low-rank factorization directly. We then propose new methods to compute approximate maximum weight matchings of low-rank matrices to produce an alignment. We evaluate our approach by applying it on synthetic networks and use it to de-anonymize a multimodal transportation network.

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Huda Nassar, David F. Gleich. 2017-03-30. Multimodal Network Alignment. https://arxiv.org/abs/1703.10511

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