activity
20102020
most citedThe ground truth about metadata and community detection in networks

471 citations · 833 across the 12 of their papers we have counts for

collaborators

15 papers

cs.SI2020★ 3 cited

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…

cs.SI2020★ 28 cited

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…

cs.SI2019★ 27 cited

Network constraints on the mixing patterns of binary node metadata

Matteo Cinelli, Leto Peel, Antonio Iovanella +1

We consider the network constraints on the bounds of the assortativity coefficient, which measures the tendency of nodes with the same attribute values to be interconnected. The as…

cs.SI2018★ 49 cited

Community detection in networks without observing edges

Till Hoffmann, Leto Peel, Renaud Lambiotte +1

We develop a Bayesian hierarchical model to identify communities in networks for which we do not observe the edges directly, but instead observe a series of interdependent signals…

cs.GT2018★ 14 cited

Individual perception dynamics in drunk games

Alberto Antonioni, Luis A. Martinez-Vaquero, Cole Mathis +2

We study the effects of individual perceptions of payoffs in two-player games. In particular we consider the setting in which individuals' perceptions of the game are influenced by…

cs.SI2017★ 110 cited

Multiscale mixing patterns in networks

Leto Peel, Jean-Charles Delvenne, Renaud Lambiotte

Assortative mixing in networks is the tendency for nodes with the same attributes, or metadata, to link to each other. It is a property often found in social networks manifesting a…