activity
20102017
most citedDetecting highly overlapping community structure by greedy clique expansion

277 citations · 545 across the 10 of their papers we have counts for

collaborators

10 papers

math.ST2017

A five-decision testing procedure to infer on unidimensional parameter

Aaron McDaid, Zoltan Kutalik, Valentin Rousson

A statistical test can be seen as a procedure to produce a decision based on observed data, where some decisions consist of rejecting a hypothesis (yielding a significant result) a…

cs.SI2013

Measuring the Significance of the Geographic Flow of Music

Conrad Lee, Aaron McDaid, Pádraig Cunningham

In previous work, our results suggested that some cities tend to be ahead of others in their musical preferences. We concluded that work by noting that to properly test this claim,…

stat.CO2012★ 7 cited

Model-based clustering in networks with Stochastic Community Finding

Aaron F. McDaid, Brendan Thomas Murphy, Nial Friel +1

In the model-based clustering of networks, blockmodelling may be used to identify roles in the network. We identify a special case of the Stochastic Block Model (SBM) where we cons…

cs.SI2012★ 1 cited

Percolation Computation in Complex Networks

Fergal Reid, Aaron McDaid, Neil Hurley

K-clique percolation is an overlapping community finding algorithm which extracts particular structures, comprised of overlapping cliques, from complex networks. While it is concep…

stat.CO2012★ 4 cited

Clustering in networks with the collapsed Stochastic Block Model

Aaron F. McDaid, Thomas Brendan Murphy, Nial Friel +1

An efficient MCMC algorithm is presented to cluster the nodes of a network such that nodes with similar role in the network are clustered together. This is known as block-modelling…

physics.soc-ph2011★ 236 cited

Normalized Mutual Information to evaluate overlapping community finding algorithms

Aaron F. McDaid, Derek Greene, Neil Hurley

Given the increasing popularity of algorithms for overlapping clustering, in particular in social network analysis, quantitative measures are needed to measure the accuracy of a me…