121 citations · 260 across the 28 of their papers we have counts for
4 papers · 1 filter
Can one see the shape of a network?
Melanie Weber, Emil Saucan, Jürgen Jost
Traditionally, network analysis is based on local properties of vertices, like their degree or clustering, and their statistical behavior across the network in question. This paper…
Characterizing Complex Networks with Forman-Ricci Curvature and Associated Geometric Flows
Melanie Weber, Emil Saucan, Jürgen Jost
We introduce Forman-Ricci curvature and its corresponding flow as characteristics for complex networks attempting to extend the common approach of node-based network analysis by ed…
Forman curvature for directed networks
R. P. Sreejith, Jürgen Jost, Emil Saucan +1
A goal in network science is the geometrical characterization of complex networks. In this direction, we (arXiv:1603.00386; J. Stat. Mech. (2016) P063206) have recently introduced…
Forman-Ricci flow for change detection in large dynamic data sets
Melanie Weber, Jürgen Jost, Emil Saucan
We present a viable solution to the challenging question of change detection in complex networks inferred from large dynamic data sets. Building on Forman's discretization of the c…