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Combinatorial Analysis of Multiple Networks
[article]
2013
arXiv
pre-print
The study of complex networks has been historically based on simple graph data models representing relationships between individuals. However, often reality cannot be accurately captured by a flat graph model. This has led to the development of multi-layer networks. These models have the potential of becoming the reference tools in network data analysis, but require the parallel development of specific analysis methods explicitly exploiting the information hidden in-between the layers and the
arXiv:1303.4986v1
fatcat:qnynofjkgnbtdlnow53a5m2vte