Quantifying loss of information in network-based dimensionality reduction techniques

To cope with the complexity of large networks, a number of dimensionality reduction techniques for graphs have been developed. However, the extent to which information is lost or preserved when these techniques are employed has not yet been clear. Here, we develop a framework, based on algorithmic i... View More