555 citations · 2.9k across the 55 of their papers we have counts for
6 papers · 1 filter
Simulating systematic bias in attributed social networks and its effect on rankings of minority nodes
Felix I. Stamm, Leonie Neuhäuser, Florian Lemmerich +2
Network analysis provides powerful tools to learn about a variety of social systems. However, most analyses implicitly assume that the considered relational data is error-free, rel…
Detectability of hierarchical communities in networks
Leto Peel, Michael T. Schaub
We study the problem of recovering a planted hierarchy of partitions in a network. The detectability of a single planted partition has previously been analysed in detail and a phas…
Hierarchical community structure in networks
Michael T. Schaub, Jiaze Li, Leto Peel
Modular and hierarchical community structures are pervasive in real-world complex systems. A great deal of effort has gone into trying to detect and study these structures. Importa…
State aggregations in Markov chains and block models of networks
Mauro Faccin, Michael T. Schaub, Jean-Charles Delvenne
We consider state-aggregation schemes for Markov chains from an information-theoretic perspective. Specifically, we consider aggregating the states of a Markov chain such that the…
Opinion Dynamics with Multi-Body Interactions
Leonie Neuhäuser, Michael T. Schaub, Andrew Mellor +1
We introduce and analyse a three-body consensus model (3CM) for non-linear consensus dynamics on hypergraphs. Our model incorporates reinforcing group effects, which can cause shif…
Exact Blind Community Detection from Signals on Multiple Graphs
T. Mitchell Roddenberry, Michael T. Schaub, Hoi-To Wai +1
Networks and data supported on graphs have become ubiquitous in the sciences and engineering. This paper studies the 'blind' community detection problem, where we seek to infer the…