4 papers
Dynamic Hidden-Variable Network Models
Harrison Hartle, Fragkiskos Papadopoulos, Dmitri Krioukov
Models of complex networks often incorporate node-intrinsic properties abstracted as hidden variables. The probability of connections in the network is then a function of these var…
netrd: A library for network reconstruction and graph distances
Stefan McCabe, Leo Torres, Timothy LaRock +4
Over the last two decades, alongside the increased availability of large network datasets, we have witnessed the rapid rise of network science. For many systems, however, the data…
Network comparison and the within-ensemble graph distance
Harrison Hartle, Brennan Klein, Stefan McCabe +4
Quantifying the differences between networks is a challenging and ever-present problem in network science. In recent years a multitude of diverse, ad hoc solutions to this problem…
Classical Information Theory of Networks
Filippo Radicchi, Dmitri Krioukov, Harrison Hartle +1
Existing information-theoretic frameworks based on maximum entropy network ensembles are not able to explain the emergence of heterogeneity in complex networks. Here, we fill this…