activity
20142021
most citedStatistical inference for network samples using subgraph counts

25 citations · 39 across the 7 of their papers we have counts for

collaborators

7 papers

stat.ME2021★ 1 cited

Quantifying Network Similarity using Graph Cumulants

Gecia Bravo-Hermsdorff, Lee M. Gunderson, Pierre-André Maugis +1

How might one test the hypothesis that networks were sampled from the same distribution? Here, we compare two statistical tests that use subgraph counts to address this question. T…

math.ST2020★ 1 cited

Central limit theorems for local network statistics

P-A. Maugis

Subgraph counts - in particular the number of occurrences of small shapes such as triangles - characterize properties of random networks, and as a result have seen wide use as netw…

stat.ME2020★ 1 cited

Nonparametric regression for multiple heterogeneous networks

Swati Chandna, Pierre-Andre Maugis

We study nonparametric methods for the setting where multiple distinct networks are observed on the same set of nodes. Such samples may arise in the form of replicated networks dra…

stat.ME2017★ 7 cited

Topology reveals universal features for network comparison

Pierre-André G. Maugis, Sofia C. Olhede, Patrick J. Wolfe

The topology of any complex system is key to understanding its structure and function. Fundamentally, algebraic topology guarantees that any system represented by a network can be…

cs.DM2017★ 1 cited

Fast counting of medium-sized rooted subgraphs

P-A. G. Maugis, S. C. Olhede, P. J. Wolfe

We prove that counting copies of any graph in another graph can be achieved using basic matrix operations on the adjacency matrix of . Moreover, the resulting algorithm…

stat.ME2017★ 25 cited

Statistical inference for network samples using subgraph counts

P-A. G. Maugis, Carey E. Priebe, S. C. Olhede +1

We consider that a network is an observation, and a collection of observed networks forms a sample. In this setting, we provide methods to test whether all observations in a networ…