555 citations · 2.9k across the 55 of their papers we have counts for
5 papers · 1 filter
Different approaches to community detection
Martin Rosvall, Jean-Charles Delvenne, Michael T. Schaub +1
A precise definition of what constitutes a community in networks has remained elusive. Consequently, network scientists have compared community detection algorithms on benchmark ne…
Entrograms and coarse graining of dynamics on complex networks
Mauro Faccin, Michael T. Schaub, Jean-Charles Delvenne
Using an information theoretic point of view, we investigate how a dynamics acting on a network can be coarse grained through the use of graph partitions. Specifically, we are inte…
Network Inference from Consensus Dynamics
Santiago Segarra, Michael T. Schaub, Ali Jadbabaie
We consider the problem of identifying the topology of a weighted, undirected network from observing snapshots of multiple independent consensus dynamics. Specifically…
Centrality measures for graphons: Accounting for uncertainty in networks
Marco Avella-Medina, Francesca Parise, Michael T. Schaub +1
As relational datasets modeled as graphs keep increasing in size and their data-acquisition is permeated by uncertainty, graph-based analysis techniques can become computationally…
Feedforward Architectures Driven by Inhibitory Interactions
Yazan N. Billeh, Michael T. Schaub
Directed information transmission is paramount for many social, physical, and biological systems. For neural systems, scientists have studied this problem under the paradigm of fee…